Print

The library can be used to segment slaps and extract templates from prints. More...

Classes
class	ModalitiesEmbeddingVerifyMatcher
	ModalitiesEmbeddingVerifyMatcher is template matcher that uses Innovatrics proprietary verification algorithm. More...
class	ANSITemplate
	ANSI INCITS 378 print compliant template. More...
class	ANSITemplateAdapter
	Adapts Template to ANSITemplate. More...
class	CriticalPoint
	It represents a particular CriticalPoint. More...
class	CriticalPointShape
	It draws CriticalPoint into image. More...
class	CriticalPointsShape
	It draws collection of CriticalPoint into image. More...
class	EmbeddingExtractor
class	EmbeddingMatcher
	It is general matcher for Embedding templates. More...
class	EmbeddingVerifyMatcher
	EmbeddingVerifyMatcher is template matcher that uses Innovatrics proprietary verification algorithm. More...
class	ICSExtractor
	ICSExtractor creates ICS, Innovatrics proprietary print template. More...
class	ICSVerifyMatcher
	ICSVerifyMatcher is template matcher that uses Innovatrics proprietary verification algorithm. More...
class	IdentificationEmbeddingExtractor
	EmbeddingExtractor creates Innovatrics proprietary embedding print template. More...
class	ILOSIDTemplate
	International Labour Organisation Seafarers Identity Document template. More...
class	ILOSIDTemplateAdapter
	Adapts Template to ILOSIDTemplate. More...
class	ISOCCTemplate
	ISO/IEC 19794-2:2005 template, template version 2.0, 3-byte format for minutiae (compact card encoding). More...
class	ISOCCTemplateAdapter
	Adapts Template to ISOCCTemplate. More...
class	ISONCTemplate
	ISO/IEC 19794-2:2005 template, template version 2.0, 5-byte format for minutiae (normal card encoding). More...
class	ISONCTemplateAdapter
	Adapts Template to ISONCTemplate. More...
class	ISOTemplate
	ISO/IEC 19794-2 print compliant template. More...
class	ISOTemplateAdapter
	Adapts Template to ISOTemplate. More...
class	Minutia
	It represents a particular Minutia (distinctive fingerprint feature point found in fingerprint skeleton, such as a bifurcation or an ending). More...
class	MinutiaShape
	It draws Minutia into image. More...
class	MinutiaeShape
	It draws Minutia into image. More...
class	Print
	It holds all functions and data related to print manipulation. More...
class	PrintAttributes
	Print attributes Holds the print attributes. More...
class	PrintCaptureDeviceTypeID
	Capture device type identifier The capture device type identifier shall identify the biometric organization that owns the product that created the BDIR. More...
class	PrintCaptureDeviceVendorID
	Capture device vendor identifier The capture device vendor identifier shall identify the biometric organization that owns the product that created the BDIR. More...
class	PrintCapture
	It holds all functions and data related to print manipulation. More...
class	GuessedHandPosition
	It represents guessed hand position of Slap. More...
class	SlapCapture
	It represents PrintCapture with Slap. More...
class	ThumbsCapture
	It represents PrintCapture with ThumbsCapture. More...
class	PrintDetectorConfig
	General configuration of PrintDetector. More...
class	PrintDetector
	PrintDetector implements segmentation by means of Innovatrics ISegLib library. More...
class	AlgorithmicSegmentation
	AlgorithmicSegmentation implements algorithmic segmentation from Innovatrics ISegLib library. More...
class	NeuralSegmentation
	NeuralSegmentation implements segmentation based on neural network from Innovatrics ISegLib library. More...
class	GlobalPrintExecutor
	Holds instance of PrintExecutor. More...
class	PrintCropConfiguration
	Holds print cropping configuration. More...
class	PrintSegment
	Segment detected in print capture Usually the segment has also position that is assigned by segmentation algorithm. More...
class	PrintTemplate
	Holds various biometric representation types for print. More...

Typedefs
using	PrintSimilarityScore = unsigned int
	It is similarity score between print Templates.

Enumerations
enum class	PrintCaptureDeviceTechnology : uint8_t {   UNKNOWN = 0 , WHITE_LIGHT_OPTICAL_TIR = 1 , WHITE_LIGHT_OPTICAL_DIRECT = 2 , WHITE_LIGHT_OPTICAL_TOUCHLESS = 3 ,   MONOCHROMATIC_VISIBLE_OPTICAL_TIR = 4 , MONOCHROMATIC_VISIBLE_OPTICAL_DIRECT = 5 , MONOCHROMATIC_VISIBLE_OPTICAL_TOUCHLESS = 6 , MONOCHROMATIC_VISIBLE_IR_OPTICAL_TIR = 7 ,   MONOCHROMATIC_VISIBLE_IR_OPTICALTOUCHLESS = 8 , MONOCHROMATIC_VISIBLE_IR_OPTICAL = 9 , MULTISPECTRAL_OPTICAL_TIR = 10 , MULTISPECTRAL_OPTICAL_DIRECT = 11 ,   MULTISPECTRAL_OPTICAL_TOUCHLESS = 12 , ELECTRO_LUMINESCENT = 13 , SEMICONDUCTOR_CAPACITIVE = 14 , SEMICONDUCTOR_RF = 15 ,   SEMICONDUCTOR_THERMAL = 16 , PRESSURE_SENSITIVE = 17 , ULTRASOUND = 18 , MECHANICAL = 19 ,   GLASS_FIBER = 20 }
	It shall indicate the class of capture device technology used to acquire the captured biometric sample [5]. More...
enum class	PrintImpression : uint8_t {   LIVE_SCAN_PLAIN = 0 , LIVE_SCAN_ROLLED = 1 , NONLIVE_SCAN_PLAIN = 2 , NONLIVE_SCAN_ROLLED = 3 ,   LATENT_IMPRESSION = 4 , LATENT_TRACING = 5 , LATENT_PHOTO = 6 , LATENT_LIFT = 7 ,   LIVE_SCAN_SWIPE = 8 , LIVE_SCAN_VERTICAL_ROLL = 9 , LIVE_SCAN_PALM = 10 , NONLIVE_SCAN_PALM = 11 ,   LATENT_PALM_IMPRESSION = 12 , LATENT_PALM_TRACING = 13 , LATENT_PALM_PHOTO = 14 , LATENT_PALM_LIFT = 15 ,   LIVE_SCAN_OPTICAL_CONCTACTLESS_PLAIN = 24 , OTHER = 28 , UNKNOWN = 29 }
	It is impression of prints [5]. More...
enum class	PrintPosition : uint8_t {   RIGHT_THUMB = 1 , RIGHT_INDEX = 2 , RIGHT_MIDDLE = 3 , RIGHT_RING = 4 ,   RIGHT_LITTLE = 5 , LEFT_THUMB = 6 , LEFT_INDEX = 7 , LEFT_MIDDLE = 8 ,   LEFT_RING = 9 , LEFT_LITTLE = 10 , RIGHT_FULL_PALM = 21 , RIGHT_WRITERS_PALM = 22 ,   LEFT_FULL_PALM = 23 , LEFT_WRITERS_PALM = 24 , RIGHT_LOWER_PALM = 25 , RIGHT_UPPER_PALM = 26 ,   LEFT_LOWER_PALM = 27 , LEFT_UPPER_PALM = 28 , RIGHT_INTERDIGITAL = 31 , RIGHT_THENAR = 32 ,   RIGHT_HYPOTHENAR = 33 , LEFT_INTERDIGITAL = 34 , LEFT_THENAR = 35 , LEFT_HYPOTHENAR = 36 }
	It is position of finger on hands. More...

Functions
static constexpr int	PrintToIsoCaptureDeviceTechnology (PrintCaptureDeviceTechnology printCaptureDeviceTechnology)
	Function converts PrintCaptureDeviceTechnology to ISO capture technology.
static constexpr PrintCaptureDeviceTechnology	IsoToPrintCaptureDeviceTechnology (int isoCaptureDeviceTechnology)
	Function converts ISO capture technology to PrintCaptureDeviceTechnology.
static constexpr int	PrintToIsoImpression (PrintImpression printImpression)
	Function converts PrintImpression to ISO impression.
static constexpr PrintImpression	IsoToPrintImpression (int isoImpression)
	Function converts ISO impression to PrintImpression.
static constexpr PrintPosition	IsoToPrintPosition (int isoPosition)
	Function converts ISO position to PrintPosition.
static constexpr int	PrintToIsoPosition (PrintPosition position)
	Function converts Print position to ISO position.

Detailed Description

The library can be used to segment slaps and extract templates from prints.

Overview

The library can be used to segment slaps and extract templates from prints. The library can process following print types

• Slap
• Thumbs
• Print (types are different only by PrintPosition)
  • Fingerprint
  • Palm

We are able to segment Slap and provide segmented Prints for further processing. Usually the processing is template extraction from Print. The library provides ICSExtractor to extract Print.

Slap

Slap is image of usually 4 fingers. It can be segmented and result of segmentation is PrintSegment. Usually the fingertip has also position that is assigned by segmentation algorithm. The position of found fingertip on hand is estimated by comparing the x-coordinate of the center of the finger's bounding box rectangle. As a result, the estimation may not be precise for slaps with an angle greater than 45 degrees. When the segmentation algorithm does not detect position then it is necessary that user sets correct position to be possible to create Print for further processing.

We provides following algorithm for segmentation process:

• Neural
• Algorithmic

Slap

It can be segmented with function Slap::SegmentWith that return segmented rectangles.

• c++

  const auto dpi = 1000;
  auto img = Image::Decode(BinaryFile::ReadAll("assets/slap.png"), dpi);
  auto slap = SlapCapture::Create(std::move(img), HandPosition::RIGHT);
   
  auto cfg = AlgorithmicSegmentation::Config::Default();
  cfg.SetMaxRotation(10);
  AlgorithmicSegmentation segmentation(cfg);
   
  unsigned int fingerIndex = 0;
  auto segments = slap->SegmentWith(segmentation);
  for (auto& segment : segments)
  {
      const std::string file =
        "output/slap_segment_" + std::to_string(fingerIndex) + ".png";
      segment->ToPrint()->image->SaveAs(file);
      fingerIndex++;
  }
  slap->Draw(segments, Shapes::InnoBlue)->SaveAs("output/slap_segments.png");

• java

  final int dpi = 1000;
  Image img = Image.Decode(BinaryFile.ReadAll("assets/slap.png"), dpi);
  SlapCapture slap = SlapCapture.Create(img, HandPosition.RIGHT);
   
  AlgorithmicSegmentation.Config cfg = AlgorithmicSegmentation.Config.Default();
  cfg.SetMaxRotation(10);
  AlgorithmicSegmentation segmentation = new AlgorithmicSegmentation(cfg);
   
  int fingerIndex = 0;
  PrintSegments segments = slap.SegmentWith(segmentation);
  for (PrintSegment segment : segments) {
      segment.ToPrint().getImage().SaveAs(
              "output/slap_segment_" + fingerIndex + ".png");
      fingerIndex++;
  }
   
  slap.Draw(segments, Shapes.InnoBlue).SaveAs("output/slap_segments.png");

• csharp

  const int dpi = 1000;
  Image img = Image.Decode(BinaryFile.ReadAll("assets/slap.png"), dpi);
  SlapCapture slap = SlapCapture.Create(img, HandPosition.RIGHT);
   
  uint fingerIndex = 0;
  AlgorithmicSegmentation.Config cfg = AlgorithmicSegmentation.Config.Default();
  cfg.SetMaxRotation(10);
  AlgorithmicSegmentation segmentation = new AlgorithmicSegmentation(cfg);
   
  PrintSegments segments = slap.SegmentWith(segmentation);
  foreach (PrintSegment segment in segments)
  {
      segment.ToPrint().image.SaveAs("output/slap_segment_" + fingerIndex + ".png");
      fingerIndex++;
  }
   
  slap.Draw(segments, Shapes.InnoBlue).SaveAs("output/slap_segments.png");

The output of example is segmented slap

Segmented Slap

and cropped segments

Slap Segment 1

Slap Segment 2

Slap Segment 3

Slap Segment 4

Modify segment dimensions and crop

It is possible to use crop configuration (PrintCropConfiguration) when creating prints from PrintSegment. It is also possible to modified segment dimension via function PrintSegment::Resize.

• c++

  auto img = Image::Decode(BinaryFile::ReadAll("assets/canted_slap_left.png"));
  auto slap = SlapCapture::Create(std::move(img), HandPosition::LEFT);
   
  NeuralSegmentation segmentation;
  PrintCropConfiguration cropCfg;
  cropCfg.SetBackgroundColor(Colors::InnoBlue);
  cropCfg.SetImageDimensions(400, 500);
  auto segments = slap->SegmentWith(segmentation);
  auto modifiedSegments = segments;
   
  // Get aligned fingerprint into image with dimension 400x500
  segments[0]->ToPrint(cropCfg)->image->SaveAs("output/slap_segment_crop_0.png");
  // Resize rounding box to absolute values and get aligned fingerprint into image
  // with dimension 400x500
  modifiedSegments[1] = segments[1]->Resize(400.0F, 500.F);
  modifiedSegments[1]->ToPrint(cropCfg)->image->SaveAs(
    "output/slap_segment_crop_1.png");
  // Resize rounding box relatively to original one and get not aligned fingerprint
  // into image with dimension 400x500
  cropCfg.EnableAlignedCropping(false);
  auto segment2 = segments[2];
  modifiedSegments[2] = segment2->Resize(segment2->roundingBox.GetWidth() * 1.3F,
                                         segment2->roundingBox.GetHeight() * 1.5F);
  modifiedSegments[2]->ToPrint(cropCfg)->image->SaveAs(
    "output/slap_segment_crop_2.png");
  // Resize rounding box to absolute values and get aligned fingerprint into image
  // with dimensions same as rounding box. The default crop configuration is used in
  // ToPrint() function.
  modifiedSegments[3] = segments[3]->Resize(300.0F, 400.0F);
  modifiedSegments[3]->ToPrint()->image->SaveAs("output/slap_segment_crop_3.png");
   
  // Draw segments into image. Original one as light gray and modified as blue
  auto segmentsImage =
    slap->image->DrawShape(SegmentsShape(segments, modifiedSegments));
  segmentsImage->SaveAs("output/slap_segment_crop.png");

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/canted_slap_left.png"));
  SlapCapture slap = SlapCapture.Create(img, HandPosition.LEFT);
   
  NeuralSegmentation segmentation = new NeuralSegmentation();
  PrintCropConfiguration cropCfg = new PrintCropConfiguration();
  cropCfg.SetBackgroundColor(Colors.InnoBlue);
  cropCfg.SetImageDimensions(400, 500);
  PrintSegments segments = slap.SegmentWith(segmentation);
  PrintSegments modifiedSegments = new PrintSegments(segments);
   
  // Get aligned fingerprint into image with dimension 400x500
  segments.get(0).ToPrint(cropCfg).getImage().SaveAs(
          "output/slap_segment_crop_0.png");
  // Resize rounding box to absolute values and get aligned fingerprint into image
  // with dimension 400x500
  modifiedSegments.set(1, segments.get(1).Resize(400.0F, 500.0F));
  modifiedSegments.get(1).ToPrint(cropCfg).getImage().SaveAs(
          "output/slap_segment_crop_1.png");
  // Resize rounding box relatively to original one and get not aligned
  // fingerprint
  // into image with dimension 400x500
  cropCfg.EnableAlignedCropping(false);
  PrintSegment segment2 = segments.get(2);
  modifiedSegments.set(
          2, segment2.Resize(segment2.getRoundingBox().GetWidth() * 1.3F,
                     segment2.getRoundingBox().GetHeight() * 1.5F));
  modifiedSegments.get(2).ToPrint(cropCfg).getImage().SaveAs(
          "output/slap_segment_crop_2.png");
  // Resize rounding box to absolute values and get aligned fingerprint into image
  // with dimensions same as rounding box. The default crop configuration is used
  // in ToPrint() function.
  modifiedSegments.set(3, segments.get(3).Resize(300.0F, 400.0F));
  modifiedSegments.get(3).ToPrint().getImage().SaveAs(
          "output/slap_segment_crop_3.png");
   
  // Draw segments into image. Original one as light gray and modified as blue
  Image segmentsImage = slap.getImage().DrawShape(
          new SegmentsShape(segments, modifiedSegments));
  segmentsImage.SaveAs("output/slap_segment_crop.png");

• csharp

  Image img = Image.Decode(BinaryFile.ReadAll("assets/canted_slap_left.png"));
  SlapCapture slap = SlapCapture.Create(img, HandPosition.LEFT);
   
  NeuralSegmentation segmentation = new NeuralSegmentation();
  PrintCropConfiguration cropCfg = new PrintCropConfiguration();
  cropCfg.SetBackgroundColor(Colors.InnoBlue);
  cropCfg.SetImageDimensions(400, 500);
  PrintSegments segments = slap.SegmentWith(segmentation);
  PrintSegments modifiedSegments = new PrintSegments(segments);
   
  // Get aligned fingerprint into image with dimension 400x500
  segments[0].ToPrint(cropCfg).image.SaveAs("output/slap_segment_crop_0.png");
  // Resize rounding box to absolute values and get aligned fingerprint into image
  // with dimension 400x500
  modifiedSegments[1] = segments[1].Resize(400.0F, 500.0F);
  modifiedSegments[1].ToPrint(cropCfg).image.SaveAs(
      "output/slap_segment_crop_1.png");
  // Resize rounding box relatively to original one and get not aligned fingerprint
  // into image with dimension 400x500
  cropCfg.EnableAlignedCropping(false);
  PrintSegment segment2 = segments[2];
  modifiedSegments[2] = segment2.Resize(segment2.roundingBox.GetWidth() * 1.3F,
                                        segment2.roundingBox.GetHeight() * 1.5F);
  modifiedSegments[2].ToPrint(cropCfg).image.SaveAs(
      "output/slap_segment_crop_2.png");
  // Resize rounding box to absolute values and get aligned fingerprint into image
  // with dimensions same as rounding box. The default crop configuration is used in
  // ToPrint() function.
  modifiedSegments[3] = segments[3].Resize(300.0F, 400.0F);
  modifiedSegments[3].ToPrint().image.SaveAs("output/slap_segment_crop_3.png");
   
  // Draw segments into image. Original one as light gray and modified as blue
  Image segmentsImage =
      slap.image.DrawShape(new SegmentsShape(segments, modifiedSegments));
  segmentsImage.SaveAs("output/slap_segment_crop.png");

The output of example is segmented slap (Original segments are light gray and modified are blue)

Modified Segmented Slap

and cropped segments

Modified Slap Segment 1

Modified Slap Segment 2

Modified Slap Segment 3

Modified Slap Segment 4

Hand position

Guess hand position. It is possible to guess hand position when slap contains at least 3 segments. The hand position can be obtained by function SlapCapture::GuessHandPosition.

• c++

  const auto dpi = 1000;
  auto img = Image::Decode(BinaryFile::ReadAll("assets/slap.png"), dpi);
  auto slap = SlapCapture::Create(std::move(img), HandPosition::RIGHT);
   
  AlgorithmicSegmentation segmentation{};
  auto segments = slap->SegmentWith(segmentation);
   
  auto guessedHand = SlapCapture::GuessHandPosition(segments);
  if (guessedHand.IsGuessSuccessful())
  {
      std::cout << "   Guessed hand position " << guessedHand.GetHandPosition()
                << std::endl;
  }

• java

  final int dpi = 1000;
  Image img = Image.Decode(BinaryFile.ReadAll("assets/slap.png"), dpi);
  SlapCapture slap = SlapCapture.Create(img, HandPosition.RIGHT);
   
  AlgorithmicSegmentation segmentation = new AlgorithmicSegmentation();
  PrintSegments segments = slap.SegmentWith(segmentation);
   
  GuessedHandPosition guessedHand = SlapCapture.GuessHandPosition(segments);
  if (guessedHand.IsGuessSuccessful()) {
      System.out.println(
              "   Guessed hand position " + guessedHand.GetHandPosition());
  }

• csharp

  const int dpi = 1000;
  Image img = Image.Decode(BinaryFile.ReadAll("assets/slap.png"), dpi);
  SlapCapture slap = SlapCapture.Create(img, HandPosition.RIGHT);
   
  AlgorithmicSegmentation segmentation = new AlgorithmicSegmentation();
  PrintSegments segments = slap.SegmentWith(segmentation);
   
  GuessedHandPosition guessedHand = SlapCapture.GuessHandPosition(segments);
  if (guessedHand.IsGuessSuccessful())
  {
      System.Console.WriteLine("   Guessed hand position " +
                               guessedHand.GetHandPosition());
  }

Thumbs

Thumbs is image of both thumbs. When 2 segments are detected then first is left and second is right thumb. When only one thumb is detected then position is unknown and user MUST set correct position to be possible to create Print for further processing.

We provides following algorithm for segmentation process:

• Neural
• Algorithmic

Thumbs

It can be segmented with function Thumbs::SegmentWith that return segmented rectangles.

• c++

  auto img = Image::Decode(BinaryFile::ReadAll("assets/thumbs.png"));
  auto thumbs = ThumbsCapture::Create(std::move(img));
   
  auto cfg = AlgorithmicSegmentation::Config::Default();
  cfg.SetMaxRotation(10);
  AlgorithmicSegmentation segmentation(cfg);
   
  unsigned int fingerIndex = 0;
  auto segments = thumbs->SegmentWith(segmentation);
  for (auto& segment : segments)
  {
      const std::string file =
        "output/thumbs_segment_" + std::to_string(fingerIndex) + ".png";
      segment->ToPrint()->image->SaveAs(file);
      fingerIndex++;
  }
   
  thumbs->Draw(segments, Shapes::InnoBlue)->SaveAs("output/thumbs_segments.png");

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/thumbs.png"));
  ThumbsCapture thumbs = ThumbsCapture.Create(img);
   
  AlgorithmicSegmentation.Config cfg = AlgorithmicSegmentation.Config.Default();
  cfg.SetMaxRotation(10);
  AlgorithmicSegmentation segmentation = new AlgorithmicSegmentation(cfg);
   
  int fingerIndex = 0;
  PrintSegments segments = thumbs.SegmentWith(segmentation);
  for (PrintSegment segment : segments) {
      segment.ToPrint().getImage().SaveAs(
              "output/thumbs_segment_" + fingerIndex + ".png");
      fingerIndex++;
  }
   
  thumbs.Draw(segments, Shapes.InnoBlue).SaveAs("output/thumbs_segments.png");

• csharp

  Image img = Image.Decode(BinaryFile.ReadAll("assets/thumbs.png"));
  ThumbsCapture thumbs = ThumbsCapture.Create(img);
   
  uint fingerIndex = 0;
  AlgorithmicSegmentation.Config cfg = AlgorithmicSegmentation.Config.Default();
  cfg.SetMaxRotation(10);
  AlgorithmicSegmentation segmentation = new AlgorithmicSegmentation(cfg);
   
  PrintSegments segments = thumbs.SegmentWith(segmentation);
  foreach (PrintSegment segment in segments)
  {
      segment.ToPrint().image.SaveAs("output/thumbs_segment_" + fingerIndex +
                                     ".png");
      fingerIndex++;
  }
   
  thumbs.Draw(segments, Shapes.InnoBlue).SaveAs("output/thumbs_segments.png");

The output of example are segmented thumbs

Segmented Thumbs

and cropped segments

Thumbs Segment 1

Thumbs Segment 2

Prints

We can segment images with one or more fingerprints on it (up to 4 fingerprints). The position of segmented fingerprints are always unknown and user MUST set correct position to be possible to create Print for further processing.

We provides following algorithm for segmentation process:

• Neural
• Algorithmic

Print

It can be segmented with function PrintCapture::SegmentWith that return segmented rectangles.

• c++

  auto img = Image::Decode(BinaryFile::ReadAll("assets/print.png"));
  auto print = PrintCapture::Create(std::move(img));
  NeuralSegmentation segmentation;
  auto segments = print->SegmentWith(segmentation);
  // We know that there is only one finger segmented
  auto segment = segments[0];
  // The segment has no position, we have to set it for
  // further processing
  segment->SetPosition(PrintPosition::LEFT_MIDDLE);
  segment->ToPrint()->image->SaveAs("output/print_nn_segment.png");
   
  print->Draw(segments, Shapes::InnoBlue)->SaveAs("output/print_nn_segments.png");

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/print.png"));
  PrintCapture print = PrintCapture.Create(img);
  NeuralSegmentation segmentation = new NeuralSegmentation();
  PrintSegments segments = print.SegmentWith(segmentation);
  // We know that there is only one finger segmented
  PrintSegment segment = segments.get(0);
  // The segment has no position, we have to set it for
  // further processing
  segment.SetPosition(PrintPosition.LEFT_MIDDLE);
  segment.ToPrint().getImage().SaveAs("output/print_nn_segment.png");
   
  print.Draw(segments, Shapes.InnoBlue).SaveAs("output/print_nn_segments.png");

• csharp

  Image img = Image.Decode(BinaryFile.ReadAll("assets/print.png"));
  PrintCapture print = PrintCapture.Create(img);
  NeuralSegmentation segmentation = new NeuralSegmentation();
  PrintSegments segments = print.SegmentWith(segmentation);
  // We know that there is only one finger segmented
  PrintSegment segment = segments[0];
  // The segment has no position, we have to set it for
  // further processing
  segment.SetPosition(PrintPosition.LEFT_MIDDLE);
  segment.ToPrint().image.SaveAs("output/print_nn_segment.png");
   
  print.Draw(segments, Shapes.InnoBlue).SaveAs("output/print_nn_segments.png");

The output of example is segmented fingerprint

Segmented Print

and its cropp

Fingerprint Segment

Extraction

The SDK provides following extraction types

• ICS Extraction

ICS Extraction

We provide ICS (Internal Innovatrics template) for Print via ICSExtractor. The main goal is to create template for further processing e.g. 1:1 Verification. During the extraction some intermediate artifacts can be provided.

Note

The adjudicator feature MUST be allowed in license to obtain intermediate artifacts.

• c++

  auto img = Image::Decode(BinaryFile::ReadAll("assets/finger.png"));
  auto fp = Print::Create(std::move(img), PrintPosition::LEFT_INDEX);
   
  ICSExtractor::Artifacts artifacts;
  ICSExtractor::SkeletonImage skeleton;
  artifacts.Add(skeleton);
  ICSExtractor::FilteredImage filtered;
  artifacts.Add(filtered);
  ICSExtractor::BinarizedImage binarized;
  artifacts.Add(binarized);
   
  ICSExtractor extractor;
  auto tmpl = extractor.Extract(fp, artifacts);
   
  skeleton.GetImage()->SaveAs("output/skeleton.png");
  filtered.GetImage()->SaveAs("output/filtered.png");
  binarized.GetImage()->SaveAs("output/binarized.png");
  BinaryFile::WriteAll("output/fp.ics", tmpl->icsTemplateData);

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  Print fp = new Print(img, PrintPosition.LEFT_INDEX);
   
  ICSExtractor.Artifacts artifacts = new ICSExtractor.Artifacts();
  ICSExtractor.SkeletonImage skeleton = new ICSExtractor.SkeletonImage();
  artifacts.Add(skeleton);
  ICSExtractor.FilteredImage filtered = new ICSExtractor.FilteredImage();
  artifacts.Add(filtered);
  ICSExtractor.BinarizedImage binarized = new ICSExtractor.BinarizedImage();
  artifacts.Add(binarized);
   
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint tmpl = extractor.Extract(fp, artifacts);
   
  skeleton.GetImage().SaveAs("output/skeleton.png");
  filtered.GetImage().SaveAs("output/filtered.png");
  binarized.GetImage().SaveAs("output/binarized.png");
  BinaryFile.WriteAll("output/fp.ics", tmpl.getIcsTemplateData());

• csharp

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  Print fp = new Print(img, PrintPosition.LEFT_INDEX);
   
  ICSExtractor.Artifacts artifacts = new ICSExtractor.Artifacts();
  ICSExtractor.SkeletonImage skeleton = new ICSExtractor.SkeletonImage();
  artifacts.Add(skeleton);
  ICSExtractor.FilteredImage filtered = new ICSExtractor.FilteredImage();
  artifacts.Add(filtered);
  ICSExtractor.BinarizedImage binarized = new ICSExtractor.BinarizedImage();
  artifacts.Add(binarized);
   
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint tmpl = extractor.Extract(fp, artifacts);
   
  skeleton.GetImage().SaveAs("output/skeleton.png");
  filtered.GetImage().SaveAs("output/filtered.png");
  binarized.GetImage().SaveAs("output/binarized.png");
  BinaryFile.WriteAll("output/fp.ics", tmpl.icsTemplateData);

The output of example is template and required intermediate images.

Finger for extraction

Binarized

Filtered

Skeleton

1 to 1 Verification

We provide verification of ICS (Internal Innovatrics template) for Print via ICSVerifyMatcher. The main goal is to calculate Similarity Score for given probe and gallery templates. The examples uses following images:

Probe

Gallery

• c++

  auto img1 = Image::Decode(BinaryFile::ReadAll("assets/s1_li.png"));
  auto p1 = Print::Create(std::move(img1), PrintPosition::LEFT_INDEX);
  auto img2 = Image::Decode(BinaryFile::ReadAll("assets/s2_li.png"));
  auto p2 = Print::Create(std::move(img2), PrintPosition::LEFT_INDEX);
  ICSExtractor extractor;
  auto tmpl1 = extractor.Extract(p1);
  auto tmpl2 = extractor.Extract(p2);
   
  auto cfg = ICSVerifyMatcher::Config::Default();
  const ICSVerifyMatcher matcher(cfg);
  auto score = matcher.Match(*tmpl1, *tmpl2);
  std::cout << "   Similarity score == " << score << std::endl;

• java

  Image img_1 = Image.Decode(BinaryFile.ReadAll("assets/s1_li.png"));
  Print p_1 = Print.Create(img_1, PrintPosition.LEFT_INDEX);
  Image img_2 = Image.Decode(BinaryFile.ReadAll("assets/s2_li.png"));
  Print p_2 = Print.Create(img_2, PrintPosition.LEFT_INDEX);
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint tmpl_1 = extractor.Extract(p_1);
  ExtractedPrint tmpl_2 = extractor.Extract(p_2);
   
  ICSVerifyMatcher matcher = new ICSVerifyMatcher(ICSVerifyMatcher.Config.Default());
  long score = matcher.Match(tmpl_1, tmpl_2);
  System.out.println("   Similarity score == " + score);

• csharp

  Image img_1 = Image.Decode(BinaryFile.ReadAll("assets/s1_li.png"));
  Print p_1 = Print.Create(img_1, PrintPosition.LEFT_INDEX);
  Image img_2 = Image.Decode(BinaryFile.ReadAll("assets/s2_li.png"));
  Print p_2 = Print.Create(img_2, PrintPosition.LEFT_INDEX);
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint tmpl_1 = extractor.Extract(p_1);
  ExtractedPrint tmpl_2 = extractor.Extract(p_2);
   
  ICSVerifyMatcher matcher =
      new ICSVerifyMatcher(ICSVerifyMatcher.Config.Default());
  uint score = matcher.Match(tmpl_1, tmpl_2);
  System.Console.WriteLine("   Similarity score == " + score);

Matching Minutiae

During verification process SDK can provide matching minutiae between verified probe against gallery ICSTemplate. The matching minutia has same index in provided probe and gallery minutiae.

Note

The adjudicator feature MUST be allowed in license to obtain matching minutiae.

• c++

  auto img1 = Image::Decode(BinaryFile::ReadAll("assets/s1_li.png"));
  auto p1 = Print::Create(std::move(img1), PrintPosition::LEFT_INDEX);
  auto img2 = Image::Decode(BinaryFile::ReadAll("assets/s2_li.png"));
  auto p2 = Print::Create(std::move(img2), PrintPosition::LEFT_INDEX);
  ICSExtractor extractor;
  auto probe = extractor.Extract(p1);
  auto gallery = extractor.Extract(p2);
   
  auto matchingMinutiae = ICSVerifyMatcher::MatchingMinutiae();
  const ICSVerifyMatcher matcher;
  std::ignore = matcher.Match(*probe, *gallery, matchingMinutiae);
   
  auto p1Minutiae = probe->print->DrawMinutiae(matchingMinutiae.GetProbeMinutiae(),
                                               Shapes::InnoBlue);
  auto p2Minutiae = gallery->print->DrawMinutiae(
    matchingMinutiae.GetGalleryMinutiae(), Shapes::InnoBlue);
   
  p1Minutiae->SaveAs("output/s1_li_minutiae.png");
  p2Minutiae->SaveAs("output/s2_li_minutiae.png");

• java

  Image img_1 = Image.Decode(BinaryFile.ReadAll("assets/s1_li.png"));
  Print p_1 = Print.Create(img_1, PrintPosition.LEFT_INDEX);
  Image img_2 = Image.Decode(BinaryFile.ReadAll("assets/s2_li.png"));
  Print p_2 = Print.Create(img_2, PrintPosition.LEFT_INDEX);
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint probe = extractor.Extract(p_1);
  ExtractedPrint gallery = extractor.Extract(p_2);
   
  ICSVerifyMatcher.MatchingMinutiae matchingMinutiae = new ICSVerifyMatcher
                                                               .MatchingMinutiae();
  ICSVerifyMatcher matcher = new ICSVerifyMatcher();
  long score = matcher.Match(probe, gallery, matchingMinutiae);
   
  Image p_1_minutiae = probe.getPrint().DrawMinutiae(
          matchingMinutiae.GetProbeMinutiae(), Shapes.InnoBlue);
  Image p_2_minutiae = gallery.getPrint().DrawMinutiae(
          matchingMinutiae.GetGalleryMinutiae(), Shapes.InnoBlue);
   
  p_1_minutiae.SaveAs("output/s1_li_minutiae.png");
  p_2_minutiae.SaveAs("output/s2_li_minutiae.png");

• csharp

  Image img_1 = Image.Decode(BinaryFile.ReadAll("assets/s1_li.png"));
  Print p_1 = Print.Create(img_1, PrintPosition.LEFT_INDEX);
  Image img_2 = Image.Decode(BinaryFile.ReadAll("assets/s2_li.png"));
  Print p_2 = Print.Create(img_2, PrintPosition.LEFT_INDEX);
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint probe = extractor.Extract(p_1);
  ExtractedPrint gallery = extractor.Extract(p_2);
   
  ICSVerifyMatcher.MatchingMinutiae matchingMinutiae =
      new ICSVerifyMatcher.MatchingMinutiae();
  ICSVerifyMatcher matcher = new ICSVerifyMatcher();
  uint score = matcher.Match(probe, gallery, matchingMinutiae);
   
  Image p_1_minutiae = probe.print.DrawMinutiae(matchingMinutiae.GetProbeMinutiae(),
                                                Shapes.InnoBlue);
  Image p_2_minutiae = gallery.print.DrawMinutiae(
      matchingMinutiae.GetGalleryMinutiae(), Shapes.InnoBlue);
   
  p_1_minutiae.SaveAs("output/s1_li_minutiae.png");
  p_2_minutiae.SaveAs("output/s2_li_minutiae.png");

Output of example are verified prints with drown matching minutiae.

Probe with matching minutiae

Gallery with matching minutiae

Quality

Qualities provided for a fingerprint image and template:

• Template quality is calculated from a fingerprint template. The quality is an integer number between 0 (blank image) and 100 (maximum quality). For enrollment, it is recommended to use only templates with quality > 30.

  • c++

    ICSExtractor extractor;
    auto tmpl = extractor.Extract(
      Print::Create(Image::Decode(BinaryFile::ReadAll("assets/finger.png")),
                    PrintPosition::LEFT_INDEX));
    const uint8_t quality = tmpl->CalculateQuality();
    std::cout << "  Template Quality == " << +quality << std::endl;

  • java

    ICSExtractor extractor = new ICSExtractor();
    Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
    ExtractedPrint tmpl = extractor.Extract(
            Print.Create(img, PrintPosition.LEFT_INDEX));
    int quality = tmpl.CalculateQuality();
    System.out.println("    Template Quality == " + quality);

  • csharp

    Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
    ICSExtractor extractor = new ICSExtractor();
    ExtractedPrint tmpl =
        extractor.Extract(Print.Create(img, PrintPosition.LEFT_INDEX));
    var quality = tmpl.CalculateQuality();
    System.Console.WriteLine("  Template Quality == {0}", quality);

• Presence image quality number is calculated as an area where presence of fingerprint is detected. The calculated value does not measure quality of the presented fingerprint pattern. Presence value is calculated from the fingerprint image. The range is from 0 (lowest quality) to 100 (highest quality).

  • c++

    auto img = Image::Decode(BinaryFile::ReadAll("assets/finger.png"));
    auto fp = Print::Create(std::move(img), PrintPosition::LEFT_INDEX);
    const uint8_t presence = fp->CalculatePresence();
    std::cout << "   Presence quality == " << +presence << std::endl;

  • java

    // Read file content via provided File class
    Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
    Print fp = Print.Create(img, PrintPosition.LEFT_INDEX);
    byte presence = fp.CalculatePresence();
    System.out.println("    Presence Quality == " + presence);

  • csharp

    var img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
    var fp = Print.Create(img, PrintPosition.LEFT_INDEX);
    var presence = fp.CalculatePresence();
    System.Console.WriteLine("  Presence Quality == {0}", presence);

• NFIQ image quality number is calculated in accordance with the general guidelines contained in Section 7.2.5 of ANSI/INCITS 381 standard (Section 8.3.7.3 Quality score of ISO/IEC 19794-4 international standard). Presence value is calculated from the fingerprint image. The range is from 1 (highest quality) to 5 (lowest quality).

  • c++

    auto img = Image::Decode(BinaryFile::ReadAll("assets/finger.png"));
    auto fp = Print::Create(std::move(img), PrintPosition::LEFT_INDEX);
    const uint8_t nfiq1 = fp->CalculateNFIQ1();
    std::cout << "   NFIQ quality == " << +nfiq1 << std::endl;

  • java

    Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
    Print fp = Print.Create(img, PrintPosition.LEFT_INDEX);
    byte nfiq1 = fp.CalculateNFIQ1();
    System.out.println("    NFIQ1 Quality == " + nfiq1);

  • csharp

    var img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
    var fp = Print.Create(img, PrintPosition.LEFT_INDEX);
    var nfiq1 = fp.CalculateNFIQ1();
    System.Console.WriteLine("  NFIQ1 Quality == {0}", nfiq1);

• NFIQ2 image quality number is calculated in accordance with the general guidelines contained in Section 7.2.5 of ANSI/INCITS 381 standard (Section 8.3.7.3 Quality score of ISO/IEC 19794-4 international standard). Presence value is calculated from the fingerprint image. The range is from 0 (lowest quality) to 100 (highest quality).

  • c++

    auto img = Image::Decode(BinaryFile::ReadAll("assets/finger.png"));
    auto fp = Print::Create(std::move(img), PrintPosition::LEFT_INDEX);
    const uint8_t nfiq2 = fp->CalculateNFIQ2();
    std::cout << "   NFIQ2 quality == " << +nfiq2 << std::endl;

  • java

    Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
    Print fp = Print.Create(img, PrintPosition.LEFT_INDEX);
    byte nfiq2 = fp.CalculateNFIQ2();
    System.out.println("    NFIQ2 Quality == " + nfiq2);

  • csharp

    var img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
    var fp = Print.Create(img, PrintPosition.LEFT_INDEX);
    var nfiq2 = fp.CalculateNFIQ2();
    System.Console.WriteLine("  NFIQ2 Quality == {0}", nfiq2);

• Image quality number is calculated in accordance with the general guidelines contained in Section 7.2.5 of ANSI/INCITS 381 standard Section 8.3.7.3 Quality score of ISO/IEC 19794-4 international standard). The range is from 0 (lowest quality) to 100 (highest quality).

  • c++

    auto img = Image::Decode(BinaryFile::ReadAll("assets/finger.png"));
    auto fp = Print::Create(std::move(img), PrintPosition::LEFT_INDEX);
    const uint8_t imageQuality = fp->CalculateImageQuality();
    std::cout << "   Image quality == " << +imageQuality << std::endl;

  • java

    Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
    Print fp = Print.Create(img, PrintPosition.LEFT_INDEX);
    byte imageQuality = fp.CalculateImageQuality();
    System.out.println("    Image Quality == " + imageQuality);

  • csharp

    var img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
    var fp = Print.Create(img, PrintPosition.LEFT_INDEX);
    var imageQuality = fp.CalculateImageQuality();
    System.Console.WriteLine("  Image Quality == {0}", imageQuality);

• Placement The placement score number ranges from 0 to 100 and represents the fitness of the finger placement, evaluated with respect to the detected fingerprint classification (arch, loop, whorl).

  • c++

    auto img = Image::Decode(BinaryFile::ReadAll("assets/finger.png"));
    auto fp = Print::Create(std::move(img), PrintPosition::LEFT_INDEX);
    const uint8_t placement = fp->CalculatePlacement();
    std::cout << "   Placement quality == " << +placement << std::endl;

  • java

    Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
    Print fp = Print.Create(img, PrintPosition.LEFT_INDEX);
    byte placement = fp.CalculatePlacement();
    System.out.println("    Placement Quality == " + placement);

  • csharp

    var img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
    var fp = Print.Create(img, PrintPosition.LEFT_INDEX);
    var placement = fp.CalculatePlacement();
    System.Console.WriteLine("  Placement Quality == {0}", placement);

• Intensity The intensity value is from 0 (lowest intensity, dry finger, low pressure) to 100 (highest intensity, wet finger, high pressure).

  • c++

    auto img = Image::Decode(BinaryFile::ReadAll("assets/finger.png"));
    auto fp = Print::Create(std::move(img), PrintPosition::LEFT_INDEX);
    const uint8_t intensity = fp->CalculateIntensity();
    std::cout << "   Image intensity == " << +intensity << std::endl;

  • java

    Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
    Print fp = Print.Create(img, PrintPosition.LEFT_INDEX);
    byte intensity = fp.CalculateIntensity();
    System.out.println("    Intensity Quality == " + intensity);

  • csharp

    var img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
    var fp = Print.Create(img, PrintPosition.LEFT_INDEX);
    var intensity = fp.CalculateIntensity();
    System.Console.WriteLine("  Image intensity == {0}", intensity);

Minutiae

The SDK provides extracted minutiae from ICSTemplate and draw them into Image.

• The Minutia::Type::BIFURCATION is drawn as square.
• The Minutia::Type::RIDGE_ENDING is drawn as circle.

When default minutiae shape does not fit, you can draw own via image functionality.

Note

The adjudicator feature MUST be allowed in license to obtain minutiae from template.

• c++

  auto img = Image::Decode(BinaryFile::ReadAll("assets/finger.png"));
  auto fp = Print::Create(std::move(img), PrintPosition::LEFT_INDEX);
   
  ICSExtractor::SkeletonImage skeleton;
  ICSExtractor extractor;
  auto tmpl = extractor.Extract(fp, skeleton);
  auto minutiae = tmpl->GetMinutiae();
  auto skeletonWithMinutiae = skeleton.DrawMinutiae(minutiae, Shapes::InnoBlue);
   
  skeletonWithMinutiae->SaveAs("output/skeleton_with_minutiae.png");

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  Print fp = new Print(img, PrintPosition.LEFT_INDEX);
   
  ICSExtractor.SkeletonImage skeleton = new ICSExtractor.SkeletonImage();
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint tmpl = extractor.Extract(fp, skeleton);
  Minutiae minutiae = tmpl.GetMinutiae();
  Image skeletonWithMinutiae = skeleton.DrawMinutiae(minutiae, Shapes.InnoBlue);
   
  skeletonWithMinutiae.SaveAs("output/skeleton_with_minutiae.png");

• csharp

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  Print fp = new Print(img, PrintPosition.LEFT_INDEX);
   
  ICSExtractor.SkeletonImage skeleton = new ICSExtractor.SkeletonImage();
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint tmpl = extractor.Extract(fp, skeleton);
  Minutiae minutiae = tmpl.GetMinutiae();
  Image skeletonWithMinutiae = skeleton.DrawMinutiae(minutiae, Shapes.InnoBlue);
   
  skeletonWithMinutiae.SaveAs("output/skeleton_with_minutiae.png");

Minutiae

Critical Points

The SDK provides extracted core/deltas from ICSTemplate and draw them into Image.

• CriticalPoint::Type::CORE is drawn as circle.
• CriticalPoint::Type::DELTA is drawn as square.

When default critical point shape does not fit, you can draw own via image functionality.

Note

The adjudicator feature MUST be allowed in license to obtain critical points from template.

• c++

  auto img = Image::Decode(BinaryFile::ReadAll("assets/rolled_print.png"));
  auto fp = Print::Create(std::move(img), PrintPosition::LEFT_INDEX);
   
  ICSExtractor extractor;
  auto tmpl = extractor.Extract(fp);
  auto points = tmpl->GetCriticalPoints();
  auto printWithPoints = fp->DrawCriticalPoints(points, Shapes::InnoBlue);
   
  printWithPoints->SaveAs("output/rolled_print_with_critical_points.png");

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/rolled_print.png"));
  Print fp = new Print(img, PrintPosition.LEFT_INDEX);
   
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint tmpl = extractor.Extract(fp);
  CriticalPoints points = tmpl.GetCriticalPoints();
  Image printWithPoints = fp.DrawCriticalPoints(points, Shapes.InnoBlue);
   
  printWithPoints.SaveAs("output/rolled_print_with_critical_points.png");

• csharp

  Image img = Image.Decode(BinaryFile.ReadAll("assets/rolled_print.png"));
  Print fp = new Print(img, PrintPosition.LEFT_INDEX);
   
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint tmpl = extractor.Extract(fp);
  CriticalPoints points = tmpl.GetCriticalPoints();
  Image printWithPoints = fp.DrawCriticalPoints(points, Shapes.InnoBlue);
   
  printWithPoints.SaveAs("output/rolled_print_with_critical_points.png");

Critical Points

Template Conversions

ISO Template

It is possible to convert proprietary ICSTemplate to ISOTemplate version 2 with PrintAttributes via function ExtractedPrint::ToISO().

• c++

  ICSExtractor extractor;
  auto tmpl = extractor.Extract(
    Print::Create(Image::Decode(BinaryFile::ReadAll("assets/finger.png")),
                  PrintPosition::LEFT_INDEX));
  auto iso = tmpl->ToISO();
  std::cout << "ISO template version: " << iso->GetVersion() << std::endl;
  BinaryFile::WriteAll("output/template.iso", iso->data);

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint tmpl = extractor.Extract(
          Print.Create(img, PrintPosition.LEFT_INDEX));
  ISOTemplate iso = tmpl.ToISO();
  System.out.println("ISO template version: " + iso.GetVersion());
  BinaryFile.WriteAll("output/template.iso", iso.getData());

• csharp

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint tmpl =
      extractor.Extract(Print.Create(img, PrintPosition.LEFT_INDEX));
  ISOTemplate iso = tmpl.ToISO();
  Console.WriteLine("ISO template version: " + iso.GetVersion());
  BinaryFile.WriteAll("output/template.iso", iso.data);

It is possible to convert ICSTemplate / ANSITemplate / ISOTemplate / ISONCTemplate / ISOCCTemplate / ILOSIDTemplate to ISOTemplate version 2/3 via ISOTemplateAdapter. The attributes are copied from adapted template if they are present in adapted template.

• c++

  ICSExtractor extractor;
  auto extractedPrint = extractor.Extract(
    Print::Create(Image::Decode(BinaryFile::ReadAll("assets/finger.png")),
                  PrintPosition::LEFT_INDEX));
   
  const ISOTemplateAdapter adapter(ISOTemplateAdapter::Version::VERSION_3);
  // ICS to ISO v30
  auto fromIcs = adapter.Adapt(*extractedPrint);
  BinaryFile::WriteAll("output/template_from_ics.isov3", fromIcs.data);
  // ANSI to ISO v30
  auto fromAnsi = adapter.Adapt(*extractedPrint->ToANSI());
  BinaryFile::WriteAll("output/template_from_ansi.isov3", fromAnsi.data);
  // ISO to ISO v30
  auto fromIso = adapter.Adapt(*extractedPrint->ToISO());
  BinaryFile::WriteAll("output/template_from_iso.isov3", fromIso.data);
  // ILOSID to ISO v30
  const ILOSIDTemplateAdapter ilosidAdapter;
  auto ilosid = ilosidAdapter.Adapt(*extractedPrint);
  auto fromIlosid = adapter.Adapt(ilosid);
  BinaryFile::WriteAll("output/template_from_ilosid.isov3", fromIlosid.data);
  // ISO CC to ISO
  const ISOCCTemplateAdapter isoccAdapter;
  auto isocc = isoccAdapter.Adapt(*extractedPrint);
  auto fromIsocc = adapter.Adapt(isocc);
  BinaryFile::WriteAll("output/template_from_isocc.isov3", fromIsocc.data);
  // ISO NC to ISO v30
  const ISONCTemplateAdapter isoncAdapter;
  auto isonc = isoncAdapter.Adapt(*extractedPrint);
  auto fromIsonc = adapter.Adapt(isonc);
  BinaryFile::WriteAll("output/template_from_isonc.isov3", fromIsonc.data);

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint extractedPrint = extractor.Extract(
          Print.Create(img, PrintPosition.LEFT_INDEX));
   
  ISOTemplateAdapter adapter = new ISOTemplateAdapter(
          ISOTemplateAdapter.Version.VERSION_3);
  // ICS to ISO v30
  ISOTemplate fromIcs = adapter.Adapt(extractedPrint);
  BinaryFile.WriteAll("output/template_from_ics.isov3", fromIcs.getData());
  // ANSI to ISO v30
  ISOTemplate fromAnsi = adapter.Adapt(extractedPrint.ToANSI());
  BinaryFile.WriteAll("output/template_from_ansi.isov3", fromAnsi.getData());
  // ISO to ISO v30
  ISOTemplate fromIso = adapter.Adapt(extractedPrint.ToISO());
  BinaryFile.WriteAll("output/template_from_iso.isov3", fromIso.getData());
  // ILOSID to ISO v30
  ILOSIDTemplateAdapter ilosidAdapter = new ILOSIDTemplateAdapter();
  ILOSIDTemplate ilosid = ilosidAdapter.Adapt(extractedPrint);
  ISOTemplate fromIlosid = adapter.Adapt(ilosid);
  BinaryFile.WriteAll("output/template_from_ilosid.isov3", fromIlosid.getData());
  // ISO CC to ISO v30
  ISOCCTemplateAdapter isoccAdapter = new ISOCCTemplateAdapter();
  ISOCCTemplate isocc = isoccAdapter.Adapt(extractedPrint);
  ISOTemplate fromIsocc = adapter.Adapt(isocc);
  BinaryFile.WriteAll("output/template_from_isocc.isov3", fromIsocc.getData());
  // ISO NC to ISO v30
  ISONCTemplateAdapter isoncAdapter = new ISONCTemplateAdapter();
  ISONCTemplate isonc = isoncAdapter.Adapt(extractedPrint);
  ISOTemplate fromIsonc = adapter.Adapt(isonc);
  BinaryFile.WriteAll("output/template_from_isonc.isov3", fromIsonc.getData());

• csharp

  var img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  var extractor = new ICSExtractor();
  var extractedPrint =
      extractor.Extract(Print.Create(img, PrintPosition.LEFT_INDEX));
   
  var adapter = new ISOTemplateAdapter(ISOTemplateAdapter.Version.VERSION_3);
  // ICS to ISO v30
  var fromIcs = adapter.Adapt(extractedPrint);
  BinaryFile.WriteAll("output/template_from_ics.isov3", fromIcs.data);
  // ANSI to ISO v30
  var fromAnsi = adapter.Adapt(extractedPrint.ToANSI());
  BinaryFile.WriteAll("output/template_from_ansi.isov3", fromAnsi.data);
  // ISO to ISO v30
  var fromIso = adapter.Adapt(extractedPrint.ToISO());
  BinaryFile.WriteAll("output/template_from_iso.isov3", fromIso.data);
  // ILOSID to ISO v30
  var ilosidAdapter = new ILOSIDTemplateAdapter();
  var ilosid = ilosidAdapter.Adapt(extractedPrint);
  var fromIlosid = adapter.Adapt(ilosid);
  BinaryFile.WriteAll("output/template_from_ilosid.isov3", fromIlosid.data);
  // ISO CC to ISO v30
  var isoccAdapter = new ISOCCTemplateAdapter();
  var isocc = isoccAdapter.Adapt(extractedPrint);
  var fromIsocc = adapter.Adapt(isocc);
  BinaryFile.WriteAll("output/template_from_isocc.isov3", fromIsocc.data);
  // ISO NC to ISO v30
  var isoncAdapter = new ISONCTemplateAdapter();
  var isonc = isoncAdapter.Adapt(extractedPrint);
  var fromIsonc = adapter.Adapt(isonc);
  BinaryFile.WriteAll("output/template_from_isonc.isov3", fromIsonc.data);

ISO Image

It is possible to convert Print to ISO image compliant with ISO 19794-4:2011 and back from image to Print.

• c++

  auto img = Image::Decode(BinaryFile::ReadAll("assets/finger.png"));
   
  PrintAttributes pa;
  pa.SetImpression(PrintImpression::LIVE_SCAN_PLAIN);
  pa.SetCaptureDeviceTechnology(
    PrintCaptureDeviceTechnology::SEMICONDUCTOR_CAPACITIVE);
  pa.SetCaptureDeviceVendorID(PrintCaptureDeviceVendorID(11));
  pa.SetCaptureDeviceTypeID(PrintCaptureDeviceTypeID(7));
  pa.SetCertificationFlag(true);
   
  auto fp = Print::Create(img, PrintPosition::RIGHT_THUMB, pa);
   
  std::cout << "   Conversion Print to ISO image" << std::endl;
  auto encoder = PngImageEncoder();
  auto isoImage = fp->ToIsoImage(encoder);
   
  std::cout << "   Conversion ISO to Print image" << std::endl;
  auto printImage = fp->FromIsoImage(isoImage);

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
   
  PrintAttributes pa = new PrintAttributes();
  pa.SetImpression(PrintImpression.LIVE_SCAN_PLAIN);
  pa.SetCaptureDeviceTechnology(
          PrintCaptureDeviceTechnology.SEMICONDUCTOR_CAPACITIVE);
  pa.SetCaptureDeviceVendorID(new PrintCaptureDeviceVendorID(11));
  pa.SetCaptureDeviceTypeID(new PrintCaptureDeviceTypeID(7));
  pa.SetCertificationFlag(true);
   
  Print fp = Print.Create(img, PrintPosition.RIGHT_THUMB, pa);
   
  System.out.println("   Conversion Print to ISO image");
  PngImageEncoder encoder = new PngImageEncoder();
  Bytes isoImage = fp.ToIsoImage(encoder);
   
  System.out.println("   Conversion ISO to Print image");
  Print printImage = Print.FromIsoImage(isoImage);

• csharp

  var img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
   
  PrintAttributes pa = new PrintAttributes();
  pa.SetImpression(PrintImpression.LIVE_SCAN_PLAIN);
  pa.SetCaptureDeviceTechnology(
      PrintCaptureDeviceTechnology.SEMICONDUCTOR_CAPACITIVE);
  pa.SetCaptureDeviceVendorID(new PrintCaptureDeviceVendorID(11));
  pa.SetCaptureDeviceTypeID(new PrintCaptureDeviceTypeID(7));
  pa.SetCertificationFlag(true);
   
  var fp = Print.Create(img, PrintPosition.RIGHT_THUMB, pa);
   
  System.Console.WriteLine("   Conversion Print to ISO image");
  var encoder = new PngImageEncoder();
  var isoImage = fp.ToIsoImage(encoder);
   
  System.Console.WriteLine("   Conversion ISO to Print image");
  var printImage = Print.FromIsoImage(isoImage);

ANSI Template

It is possible to convert proprietary ICSTemplate to ANSITemplate with PrintAttributes via function ExtractedPrint::ToANSI().

• c++

  ICSExtractor extractor;
  auto tmpl = extractor.Extract(
    Print::Create(Image::Decode(BinaryFile::ReadAll("assets/finger.png")),
                  PrintPosition::LEFT_INDEX));
  auto ansi = tmpl->ToANSI();
  std::cout << "ANSI template version: " << ansi->GetVersion() << std::endl;
  BinaryFile::WriteAll("output/template.ansi", ansi->data);

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint tmpl = extractor.Extract(
          Print.Create(img, PrintPosition.LEFT_INDEX));
  ANSITemplate ansi = tmpl.ToANSI();
  System.out.println("ANSI template version: " + ansi.GetVersion());
  BinaryFile.WriteAll("output/template.ansi", ansi.getData());

• csharp

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint tmpl =
      extractor.Extract(Print.Create(img, PrintPosition.LEFT_INDEX));
  ANSITemplate ansi = tmpl.ToANSI();
  Console.WriteLine("ANSI template version: " + ansi.GetVersion());
  BinaryFile.WriteAll("output/template.ansi", ansi.data);

It is possible to convert ICSTemplate / ISOTemplate / ISONCTemplate / ISOCCTemplate / ILOSIDTemplate to ANSITemplate via ANSITemplateAdapter. The attributes are copied from adapted template if they are present in adapted template.

• c++

  ICSExtractor extractor;
  auto extractedPrint = extractor.Extract(
    Print::Create(Image::Decode(BinaryFile::ReadAll("assets/finger.png")),
                  PrintPosition::LEFT_INDEX));
   
  const ANSITemplateAdapter adapter;
  // ICS to ANSI
  auto fromIcs = adapter.Adapt(*extractedPrint);
  BinaryFile::WriteAll("output/template_from_ics.ansi", fromIcs.data);
  // ISO to ANSI
  auto fromIso = adapter.Adapt(*extractedPrint->ToISO());
  BinaryFile::WriteAll("output/template_from_iso.ansi", fromIso.data);
  // ILOSID to ANSI
  const ILOSIDTemplateAdapter ilosidAdapter;
  auto ilosid = ilosidAdapter.Adapt(*extractedPrint);
  auto fromIlosid = adapter.Adapt(ilosid);
  BinaryFile::WriteAll("output/template_from_ilosid.ansi", fromIlosid.data);
  // ISO CC to ANSI
  const ISOCCTemplateAdapter isoccAdapter;
  auto isocc = isoccAdapter.Adapt(*extractedPrint);
  auto fromIsocc = adapter.Adapt(isocc);
  BinaryFile::WriteAll("output/template_from_isocc.ansi", fromIsocc.data);
  // ISO NC to ANSI
  const ISONCTemplateAdapter isoncAdapter;
  auto isonc = isoncAdapter.Adapt(*extractedPrint);
  auto fromIsonc = adapter.Adapt(isonc);
  BinaryFile::WriteAll("output/template_from_isonc.ansi", fromIsonc.data);

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint extractedPrint = extractor.Extract(
          Print.Create(img, PrintPosition.LEFT_INDEX));
   
  ANSITemplateAdapter adapter = new ANSITemplateAdapter();
  // ICS to ANSI
  ANSITemplate fromIcs = adapter.Adapt(extractedPrint);
  BinaryFile.WriteAll("output/template_from_ics.ansi", fromIcs.getData());
  // ISO to ANSI
  ANSITemplate fromIso = adapter.Adapt(extractedPrint.ToISO());
  BinaryFile.WriteAll("output/template_from_iso.ansi", fromIso.getData());
  // ILOSID to ANSI
  ILOSIDTemplateAdapter ilosidAdapter = new ILOSIDTemplateAdapter();
  ILOSIDTemplate ilosid = ilosidAdapter.Adapt(extractedPrint);
  ANSITemplate fromIlosid = adapter.Adapt(ilosid);
  BinaryFile.WriteAll("output/template_from_ilosid.ansi", fromIlosid.getData());
  // ISO CC to ANSI
  ISOCCTemplateAdapter isoccAdapter = new ISOCCTemplateAdapter();
  ISOCCTemplate isocc = isoccAdapter.Adapt(extractedPrint);
  ANSITemplate fromIsocc = adapter.Adapt(isocc);
  BinaryFile.WriteAll("output/template_from_isocc.ansi", fromIsocc.getData());
  // ISO NC to ANSI
  ISONCTemplateAdapter isoncAdapter = new ISONCTemplateAdapter();
  ISONCTemplate isonc = isoncAdapter.Adapt(extractedPrint);
  ANSITemplate fromIsonc = adapter.Adapt(isonc);
  BinaryFile.WriteAll("output/template_from_isonc.ansi", fromIsonc.getData());

• csharp

  var img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  var extractor = new ICSExtractor();
  var extractedPrint =
      extractor.Extract(Print.Create(img, PrintPosition.LEFT_INDEX));
   
  var adapter = new ANSITemplateAdapter();
  // ICS to ANSI
  var fromIcs = adapter.Adapt(extractedPrint);
  BinaryFile.WriteAll("output/template_from_ics.ansi", fromIcs.data);
  // ISO to ANSI
  var fromIso = adapter.Adapt(extractedPrint.ToISO());
  BinaryFile.WriteAll("output/template_from_iso.ansi", fromIso.data);
  // ILOSID to ANSI
  var ilosidAdapter = new ILOSIDTemplateAdapter();
  var ilosid = ilosidAdapter.Adapt(extractedPrint);
  var fromIlosid = adapter.Adapt(ilosid);
  BinaryFile.WriteAll("output/template_from_ilosid.ansi", fromIlosid.data);
  // ISO CC to ANSI
  var isoccAdapter = new ISOCCTemplateAdapter();
  var isocc = isoccAdapter.Adapt(extractedPrint);
  var fromIsocc = adapter.Adapt(isocc);
  BinaryFile.WriteAll("output/template_from_isocc.ansi", fromIsocc.data);
  // ISO NC to ANSI
  var isoncAdapter = new ISONCTemplateAdapter();
  var isonc = isoncAdapter.Adapt(extractedPrint);
  var fromIsonc = adapter.Adapt(isonc);
  BinaryFile.WriteAll("output/template_from_isonc.ansi", fromIsonc.data);

ILO SID Template

International Labour Organisation Seafarers Identity Document template.

It is possible to convert ICSTemplate / ANSITemplate / ISOTemplate / ISONCTemplate / ISOCCTemplate to ILOSIDTemplate via ILOSIDTemplateAdapter.

• c++

  ICSExtractor extractor;
  auto extractedPrint = extractor.Extract(
    Print::Create(Image::Decode(BinaryFile::ReadAll("assets/finger.png")),
                  PrintPosition::LEFT_INDEX));
   
  const ILOSIDTemplateAdapter adapter;
  // ICS to ILO SID
  auto fromIcs = adapter.Adapt(*extractedPrint);
  BinaryFile::WriteAll("output/template_from_ics.ilosid", fromIcs.GetData());
  // ANSI to ILO SID
  auto fromAnsi = adapter.Adapt(*extractedPrint->ToANSI());
  BinaryFile::WriteAll("output/template_from_ansi.ilosid", fromAnsi.GetData());
  // ISO to ILO SID
  auto fromIso = adapter.Adapt(*extractedPrint->ToISO());
  BinaryFile::WriteAll("output/template_from_iso.ilosid", fromIso.GetData());
  // ISO NC to ILO SID
  const ISONCTemplateAdapter isoncAdapter;
  auto isonc = isoncAdapter.Adapt(*extractedPrint);
  auto fromIsonc = adapter.Adapt(isonc);
  BinaryFile::WriteAll("output/template_from_isonc.ilosid", fromIsonc.GetData());
  // ISO CC to ILO SID
  const ISOCCTemplateAdapter isoccAdapter;
  auto isocc = isoccAdapter.Adapt(*extractedPrint);
  auto fromIsocc = adapter.Adapt(isocc);
  BinaryFile::WriteAll("output/template_from_isocc.ilosid", fromIsocc.GetData());

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint extractedPrint = extractor.Extract(
          Print.Create(img, PrintPosition.LEFT_INDEX));
   
  ILOSIDTemplateAdapter adapter = new ILOSIDTemplateAdapter();
  // ICS to ILO SID
  ILOSIDTemplate fromIcs = adapter.Adapt(extractedPrint);
  BinaryFile.WriteAll("output/template_from_ics.ilosid", fromIcs.GetData());
  // ANSI to ILO SID
  ILOSIDTemplate fromAnsi = adapter.Adapt(extractedPrint.ToANSI());
  BinaryFile.WriteAll("output/template_from_ansi.ilosid", fromAnsi.GetData());
  // ISO to ILO SID
  ILOSIDTemplate fromIso = adapter.Adapt(extractedPrint.ToISO());
  BinaryFile.WriteAll("output/template_from_iso.ilosid", fromIso.GetData());
  // ISO NC to ILO SID
  ISONCTemplateAdapter isoncAdapter = new ISONCTemplateAdapter();
  ISONCTemplate isonc = isoncAdapter.Adapt(extractedPrint);
  ILOSIDTemplate fromIlosid = adapter.Adapt(isonc);
  BinaryFile.WriteAll("output/template_from_isonc.ilosid", fromIlosid.GetData());
  // ISO CC to ILOSID
  ISOCCTemplateAdapter isoccAdapter = new ISOCCTemplateAdapter();
  ISOCCTemplate isocc = isoccAdapter.Adapt(extractedPrint);
  ILOSIDTemplate fromIsocc = adapter.Adapt(isocc);
  BinaryFile.WriteAll("output/template_from_isocc.ilosid", fromIsocc.GetData());

• csharp

  var img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  var extractor = new ICSExtractor();
  var extractedPrint =
      extractor.Extract(Print.Create(img, PrintPosition.LEFT_INDEX));
   
  var adapter = new ILOSIDTemplateAdapter();
  // ICS to ILO SID
  var fromIcs = adapter.Adapt(extractedPrint);
  BinaryFile.WriteAll("output/template_from_ics.ilosid", fromIcs.GetData());
  // ANSI to ILO SID
  var fromAnsi = adapter.Adapt(extractedPrint.ToANSI());
  BinaryFile.WriteAll("output/template_from_ansi.ilosid", fromAnsi.GetData());
  // ISO to ILO SID
  var fromIso = adapter.Adapt(extractedPrint.ToISO());
  BinaryFile.WriteAll("output/template_from_iso.ilosid", fromIso.GetData());
  // ISO NC to ILO SID
  var isoncAdapter = new ISONCTemplateAdapter();
  var isonc = isoncAdapter.Adapt(extractedPrint);
  var fromIsonc = adapter.Adapt(isonc);
  BinaryFile.WriteAll("output/template_from_isonc.ilosid", fromIsonc.GetData());
  // ISO CC to ILO SID
  var isoccAdapter = new ISOCCTemplateAdapter();
  var isocc = isoccAdapter.Adapt(extractedPrint);
  var fromIsocc = adapter.Adapt(isocc);
  BinaryFile.WriteAll("output/template_from_isocc.ilosid", fromIsocc.GetData());

ISO NC Template

ISO/IEC 19794-2:2005 template, template version 2.0, 5-byte format for minutiae (normal card encoding).

It is possible to convert ICSTemplate / ANSITemplate / ISOTemplate / ILOSIDTemplate / ISOCCTemplate to ISONCTemplate via ISONCTemplateAdapter.

• c++

  ICSExtractor extractor;
  auto extractedPrint = extractor.Extract(
    Print::Create(Image::Decode(BinaryFile::ReadAll("assets/finger.png")),
                  PrintPosition::LEFT_INDEX));
   
  const ISONCTemplateAdapter adapter;
  // ICS to ISO NC
  auto fromIcs = adapter.Adapt(*extractedPrint);
  BinaryFile::WriteAll("output/template_from_ics.isonc", fromIcs.GetData());
  // ANSI to ISO NC
  auto fromAnsi = adapter.Adapt(*extractedPrint->ToANSI());
  BinaryFile::WriteAll("output/template_from_ansi.isonc", fromAnsi.GetData());
  // ISO to ISO NC
  auto fromIso = adapter.Adapt(*extractedPrint->ToISO());
  BinaryFile::WriteAll("output/template_from_iso.isonc", fromIso.GetData());
  // ILOSID to ISO NC
  const ILOSIDTemplateAdapter ilosidAdapter;
  auto ilosid = ilosidAdapter.Adapt(*extractedPrint);
  auto fromIlosid = adapter.Adapt(ilosid);
  BinaryFile::WriteAll("output/template_from_ilosid.isonc", fromIlosid.GetData());
  // ISO CC to ISO NC
  const ISOCCTemplateAdapter isoccAdapter;
  auto isocc = isoccAdapter.Adapt(*extractedPrint);
  auto fromIsocc = adapter.Adapt(isocc);
  BinaryFile::WriteAll("output/template_from_isocc.isonc", fromIsocc.GetData());

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint extractedPrint = extractor.Extract(
          Print.Create(img, PrintPosition.LEFT_INDEX));
   
  ISONCTemplateAdapter adapter = new ISONCTemplateAdapter();
  // ICS to ISO NC
  ISONCTemplate fromIcs = adapter.Adapt(extractedPrint);
  BinaryFile.WriteAll("output/template_from_ics.isonc", fromIcs.GetData());
  // ANSI to ISO NC
  ISONCTemplate fromAnsi = adapter.Adapt(extractedPrint.ToANSI());
  BinaryFile.WriteAll("output/template_from_ansi.isonc", fromAnsi.GetData());
  // ISO to ISO NC
  ISONCTemplate fromIso = adapter.Adapt(extractedPrint.ToISO());
  BinaryFile.WriteAll("output/template_from_iso.isonc", fromIso.GetData());
  // ILOSID to ISO NC
  ILOSIDTemplateAdapter ilosidAdapter = new ILOSIDTemplateAdapter();
  ILOSIDTemplate ilosid = ilosidAdapter.Adapt(extractedPrint);
  ISONCTemplate fromIlosid = adapter.Adapt(ilosid);
  BinaryFile.WriteAll("output/template_from_ilosid.isonc", fromIlosid.GetData());
  // ISO CC to ISO NC
  ISOCCTemplateAdapter isoccAdapter = new ISOCCTemplateAdapter();
  ISOCCTemplate isocc = isoccAdapter.Adapt(extractedPrint);
  ISONCTemplate fromIsocc = adapter.Adapt(isocc);
  BinaryFile.WriteAll("output/template_from_isocc.isonc", fromIsocc.GetData());

• csharp

  var img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  var extractor = new ICSExtractor();
  var extractedPrint =
      extractor.Extract(Print.Create(img, PrintPosition.LEFT_INDEX));
   
  var adapter = new ISONCTemplateAdapter();
  // ICS to ISO NC
  var fromIcs = adapter.Adapt(extractedPrint);
  BinaryFile.WriteAll("output/template_from_ics.isonc", fromIcs.GetData());
  // ANSI to ISO NC
  var fromAnsi = adapter.Adapt(extractedPrint.ToANSI());
  BinaryFile.WriteAll("output/template_from_ansi.isonc", fromAnsi.GetData());
  // ISO to ISO NC
  var fromIso = adapter.Adapt(extractedPrint.ToISO());
  BinaryFile.WriteAll("output/template_from_iso.isonc", fromIso.GetData());
  // ILOSID to ISO NC
  var ilosidAdapter = new ILOSIDTemplateAdapter();
  var ilosid = ilosidAdapter.Adapt(extractedPrint);
  var fromIlosid = adapter.Adapt(ilosid);
  BinaryFile.WriteAll("output/template_from_ilosid.isonc", fromIlosid.GetData());
  // ISO CC to ISO NC
  var isoccAdapter = new ISOCCTemplateAdapter();
  var isocc = isoccAdapter.Adapt(extractedPrint);
  var fromIsocc = adapter.Adapt(isocc);
  BinaryFile.WriteAll("output/template_from_isocc.isonc", fromIsocc.GetData());

ISO CC Template

ISO/IEC 19794-2:2005 template, template version 2.0, 3-byte format for minutiae (compact card encoding).

It is possible to convert ICSTemplate / ANSITemplate / ISOTemplate / ILOSIDTemplate / ISONCTemplate to ISOCCTemplate via ISOCCTemplateAdapter.

• c++

  ICSExtractor extractor;
  auto extractedPrint = extractor.Extract(
    Print::Create(Image::Decode(BinaryFile::ReadAll("assets/finger.png")),
                  PrintPosition::LEFT_INDEX));
   
  const ISOCCTemplateAdapter adapter;
  // ICS to ISO CC
  auto fromIcs = adapter.Adapt(*extractedPrint);
  BinaryFile::WriteAll("output/template_from_ics.isocc", fromIcs.GetData());
  // ANSI to ISO CC
  auto fromAnsi = adapter.Adapt(*extractedPrint->ToANSI());
  BinaryFile::WriteAll("output/template_from_ansi.isocc", fromAnsi.GetData());
  // ISO to ISO CC
  auto fromIso = adapter.Adapt(*extractedPrint->ToISO());
  BinaryFile::WriteAll("output/template_from_iso.isocc", fromIso.GetData());
  // ILOSID to ISO CC
  const ILOSIDTemplateAdapter ilosidAdapter;
  auto ilosid = ilosidAdapter.Adapt(*extractedPrint);
  auto fromIlosid = adapter.Adapt(ilosid);
  BinaryFile::WriteAll("output/template_from_ilosid.isocc", fromIlosid.GetData());
  // ISO NC to ISO CC
  const ISONCTemplateAdapter isoncAdapter;
  auto isonc = isoncAdapter.Adapt(*extractedPrint);
  auto fromIsonc = adapter.Adapt(isonc);
  BinaryFile::WriteAll("output/template_from_isonc.isocc", fromIsonc.GetData());

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint extractedPrint = extractor.Extract(
          Print.Create(img, PrintPosition.LEFT_INDEX));
   
  ISOCCTemplateAdapter adapter = new ISOCCTemplateAdapter();
  // ICS to ISO CC
  ISOCCTemplate fromIcs = adapter.Adapt(extractedPrint);
  BinaryFile.WriteAll("output/template_from_ics.isocc", fromIcs.GetData());
  // ANSI to ISO CC
  ISOCCTemplate fromAnsi = adapter.Adapt(extractedPrint.ToANSI());
  BinaryFile.WriteAll("output/template_from_ansi.isocc", fromAnsi.GetData());
  // ISO to ISO CC
  ISOCCTemplate fromIso = adapter.Adapt(extractedPrint.ToISO());
  BinaryFile.WriteAll("output/template_from_iso.isocc", fromIso.GetData());
  // ILOSID to ISO CC
  ILOSIDTemplateAdapter ilosidAdapter = new ILOSIDTemplateAdapter();
  ILOSIDTemplate ilosid = ilosidAdapter.Adapt(extractedPrint);
  ISOCCTemplate fromIlosid = adapter.Adapt(ilosid);
  BinaryFile.WriteAll("output/template_from_ilosid.isocc", fromIlosid.GetData());
  // ISO NC to ISO CC
  ISONCTemplateAdapter isoncAdapter = new ISONCTemplateAdapter();
  ISONCTemplate isonc = isoncAdapter.Adapt(extractedPrint);
  ISOCCTemplate fromIsonc = adapter.Adapt(isonc);
  BinaryFile.WriteAll("output/template_from_isonc.isocc", fromIsonc.GetData());

• csharp

  var img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  var extractor = new ICSExtractor();
  var extractedPrint =
      extractor.Extract(Print.Create(img, PrintPosition.LEFT_INDEX));
   
  var adapter = new ISOCCTemplateAdapter();
  // ICS to ISO CC
  var fromIcs = adapter.Adapt(extractedPrint);
  BinaryFile.WriteAll("output/template_from_ics.isocc", fromIcs.GetData());
  // ANSI to ISO CC
  var fromAnsi = adapter.Adapt(extractedPrint.ToANSI());
  BinaryFile.WriteAll("output/template_from_ansi.isocc", fromAnsi.GetData());
  // ISO to ISO CC
  var fromIso = adapter.Adapt(extractedPrint.ToISO());
  BinaryFile.WriteAll("output/template_from_iso.isocc", fromIso.GetData());
  // ILOSID to ISO CC
  var ilosidAdapter = new ILOSIDTemplateAdapter();
  var ilosid = ilosidAdapter.Adapt(extractedPrint);
  var fromIlosid = adapter.Adapt(ilosid);
  BinaryFile.WriteAll("output/template_from_ilosid.isocc", fromIlosid.GetData());
  // ISO NC to ISO CC
  var isoncAdapter = new ISONCTemplateAdapter();
  var isonc = isoncAdapter.Adapt(extractedPrint);
  var fromIsonc = adapter.Adapt(isonc);
  BinaryFile.WriteAll("output/template_from_isonc.isocc", fromIsonc.GetData());

It is possible to limit and modify minutiae order in ISOCCTemplate.

• c++

  ICSExtractor extractor;
  auto extractedPrint = extractor.Extract(
    Print::Create(Image::Decode(BinaryFile::ReadAll("assets/finger.png")),
                  PrintPosition::LEFT_INDEX));
   
  const ISOCCTemplateAdapter adapter(5,
                                     ISOCCTemplateAdapter::MinutiaSortOrder::X_ASC,
                                     ISOCCTemplateAdapter::MinutiaSortOrder::NONE);
  // ICS to Limited ISO CC
  auto fromIcs = adapter.Adapt(*extractedPrint);
  BinaryFile::WriteAll("output/template_from_ics.limited_isocc", fromIcs.GetData());

• java

  Image img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  ICSExtractor extractor = new ICSExtractor();
  ExtractedPrint extractedPrint = extractor.Extract(
          Print.Create(img, PrintPosition.LEFT_INDEX));
   
  ISOCCTemplateAdapter adapter = new ISOCCTemplateAdapter(5,
          ISOCCTemplateAdapter.MinutiaSortOrder.X_ASC,
          ISOCCTemplateAdapter.MinutiaSortOrder.NONE);
   
  // ICS to Limited ISO CC
  ISOCCTemplate fromIcs = adapter.Adapt(extractedPrint);
  BinaryFile.WriteAll("output/template_from_ics.limited_isocc", fromIcs.GetData());

• csharp

  var img = Image.Decode(BinaryFile.ReadAll("assets/finger.png"));
  var extractor = new ICSExtractor();
  var extractedPrint =
      extractor.Extract(Print.Create(img, PrintPosition.LEFT_INDEX));
   
  var adapter =
      new ISOCCTemplateAdapter(5, ISOCCTemplateAdapter.MinutiaSortOrder.X_ASC,
                               ISOCCTemplateAdapter.MinutiaSortOrder.NONE);
  // ICS to Limited ISO CC
  var fromIcs = adapter.Adapt(extractedPrint);
  BinaryFile.WriteAll("output/template_from_ics.limited_isocc", fromIcs.GetData());

Load template

It is possible to load previously created template to make e.g. verification against enrolling Applicant.

• c++

  auto tmpl = ICSTemplate(BinaryFile::ReadAll("assets/template.ics"));
  std::cout << "   ICS template version: " << tmpl.GetVersion() << std::endl;
  // Template was exported from IDKit with function IEngine_ExportUserTemplate with
  // FORMAT_ICS and contains only one fingerprint
  auto tmplFromIDkit =
    ICSTemplate(BinaryFile::ReadAll("assets/idkit_template.ics"));
  std::cout << "   IDKit ICS template version: " << tmplFromIDkit.GetVersion()
            << std::endl;

• java

  ICSTemplate tmpl = new ICSTemplate(BinaryFile.ReadAll("assets/template.ics"));
  System.out.println("   ICS template version: " + tmpl.GetVersion());
  // Template was exported from IDKit with function IEngine_ExportUserTemplate with
  // FORMAT_ICS and contains only one fingerprint
  ICSTemplate tmplFromIDkit = new ICSTemplate(
          BinaryFile.ReadAll("assets/idkit_template.ics"));
  System.out.println("   IDKit ICS template version: " + tmplFromIDkit.GetVersion());

• csharp

  ICSTemplate tmpl = new ICSTemplate(BinaryFile.ReadAll("assets/template.ics"));
  Console.WriteLine("   ICS template version: " + tmpl.GetVersion());
  // Template was exported from IDKit with function IEngine_ExportUserTemplate with
  // FORMAT_ICS and contains only one fingerprint
  ICSTemplate tmplFromIDkit =
      new ICSTemplate(BinaryFile.ReadAll("assets/idkit_template.ics"));
  Console.WriteLine("   IDKit ICS template version: " + tmplFromIDkit.GetVersion());

Typedef Documentation

PrintSimilarityScore

using PrintSimilarityScore = unsigned int

It is similarity score between print Templates.

Score is 0-1000 where 1000 represents most similar templates.

The correspondence between print templates is generally reflected by similarity scores greater than default similarity threshold (40). For more information please refer to FAR and Threshold (see False Acceptance Rate). Default similarity threshold value (40) roughly corresponds to FAR=10^-4. Depending on the type of scanner, the size of print images, the size of the database and the desired security level of your application, you may need to select a different threshold.

See Similarity Score.

Enumeration Type Documentation

PrintCaptureDeviceTechnology

enum class PrintCaptureDeviceTechnology : uint8_t

strong

It shall indicate the class of capture device technology used to acquire the captured biometric sample [5].

Enumerator
UNKNOWN	Unknown or unspecified.
WHITE_LIGHT_OPTICAL_TIR	White light optical TIR.
WHITE_LIGHT_OPTICAL_DIRECT	White light optical direct view on platen. Card scanner should encode their technology type as white light optical direct view on platen.
WHITE_LIGHT_OPTICAL_TOUCHLESS	White light optical touchless.
MONOCHROMATIC_VISIBLE_OPTICAL_TIR	Monochromatic visible optical TIR.
MONOCHROMATIC_VISIBLE_OPTICAL_DIRECT	Monochromatic visible optical direct view on platen.
MONOCHROMATIC_VISIBLE_OPTICAL_TOUCHLESS	Monochromatic visible optical touchless.
MONOCHROMATIC_VISIBLE_IR_OPTICAL_TIR	Monochromatic IR optical TIR.
MONOCHROMATIC_VISIBLE_IR_OPTICALTOUCHLESS	Monochromatic IR optical direct view on platen.
MONOCHROMATIC_VISIBLE_IR_OPTICAL	Monochromatic IR optical touchless.
MULTISPECTRAL_OPTICAL_TIR	Multispectral optical TIR.
MULTISPECTRAL_OPTICAL_DIRECT	Multispectral optical direct view on platen.
MULTISPECTRAL_OPTICAL_TOUCHLESS	Multispectral optical touchless.
ELECTRO_LUMINESCENT	Electro luminescent.
SEMICONDUCTOR_CAPACITIVE	Semiconductor capacitive.
SEMICONDUCTOR_RF	Semiconductor RF.
SEMICONDUCTOR_THERMAL	Semiconductor thermal.
PRESSURE_SENSITIVE	Pressure sensitive.
ULTRASOUND	Ultrasound.
MECHANICAL	Mechanical.
GLASS_FIBER	Glass fiber.

PrintImpression

enum class PrintImpression : uint8_t

strong

It is impression of prints [5].

Depending on the acquisition methodology, fingerprints can be classified in three types:

• rolled
• plain
• latent

Rolled

A fingerprint image collected by rolling the finger across a livescan platen or paper fingerprint card from nail to nail. Rolls may be from livescan devices or scanned from paper fingerprint cards

Plain

A fingerprint image resulting from the touching of one or more fingers to a livescan platen or paper fingerprint card without any rolling motion

Latent

An impression or image of friction ridge skin left on a surface. Latent impressions are only partial fingerprints and normally have poor quality and strong distortions

Nonlive

Nonlive entries refer to images scanned from cards or other media.

Live-scan

Live-scan contactless refers to image capture devices that do not depend upon the surface of a finger making contact with a scanner platen.

Enumerator
LIVE_SCAN_PLAIN	Live-scan plain.
LIVE_SCAN_ROLLED	Live-scan rolled.
NONLIVE_SCAN_PLAIN	Nonlive-scan plain.
NONLIVE_SCAN_ROLLED	Nonlive-scan rolled.
LATENT_IMPRESSION	Latent impression.
LATENT_TRACING	Latent tracing.
LATENT_PHOTO	Latent photo.
LATENT_LIFT	Latent lift.
LIVE_SCAN_SWIPE	Live-scan swipe.
LIVE_SCAN_VERTICAL_ROLL	Live-scan vertical roll.
LIVE_SCAN_PALM	Live-scan palm.
NONLIVE_SCAN_PALM	Nonlive-scan palm.
LATENT_PALM_IMPRESSION	Latent palm impression.
LATENT_PALM_TRACING	Latent palm tracing.
LATENT_PALM_PHOTO	Latent palm photo.
LATENT_PALM_LIFT	Latent palm lift.
LIVE_SCAN_OPTICAL_CONCTACTLESS_PLAIN	Live-scan optical contactless plain.
OTHER	Other.
UNKNOWN	Unknown.

PrintPosition

enum class PrintPosition : uint8_t

strong

It is position of finger on hands.

The library supports conversion to and from ISO positions [5].

• c++

  auto isoPosition = PrintToIsoPosition(PrintPosition::LEFT_FULL_PALM);
  auto printPosition = IsoToPrintPosition(isoPosition);
   
  std::cout << "   Print to ISO position " << PrintPosition::LEFT_FULL_PALM
            << " -> " << isoPosition << std::endl;
  std::cout << "   ISO to print position " << isoPosition << " -> " << printPosition
            << std::endl;

• java

  int isoPosition = enrollment.PrintToIsoPosition(PrintPosition.LEFT_FULL_PALM);
  PrintPosition printPosition = enrollment.IsoToPrintPosition(isoPosition);
   
  System.out.println("   Print to ISO position " + PrintPosition.LEFT_FULL_PALM
                     + " -> " + isoPosition);
  System.out.println("   ISO to print position " + isoPosition + " -> "
                     + printPosition);

• csharp

  var isoPosition = enrollment.PrintToIsoPosition(PrintPosition.LEFT_FULL_PALM);
  var printPosition = enrollment.IsoToPrintPosition(isoPosition);
   
  System.Console.WriteLine("   Print to ISO position " +
                           PrintPosition.LEFT_FULL_PALM + " -> " + isoPosition);
  System.Console.WriteLine("   ISO to print position " + isoPosition + " -> " +
                           printPosition);

Enumerator
RIGHT_THUMB	Thumb on right hand. Right Thumb position
RIGHT_INDEX	Index on right hand. Right Index position
RIGHT_MIDDLE	Middle on right hand. Right Middle position
RIGHT_RING	Ring on right hand. Right Ring position
RIGHT_LITTLE	Little on right hand. Right Little position
LEFT_THUMB	Thumb on left hand. Left Thumb position
LEFT_INDEX	Index on left hand. Left Index position
LEFT_MIDDLE	Middle on left hand. Left Middle position
LEFT_RING	Ring on left hand. Left Ring position
LEFT_LITTLE	Little finger on left hand. Left Little position
RIGHT_FULL_PALM	Right full palm. Right Full Palm position
RIGHT_WRITERS_PALM	Right writer palm. Right Writer Palm position
LEFT_FULL_PALM	Left full palm. Left Full Palm position
LEFT_WRITERS_PALM	Left writer palm. Left Writer Palm position
RIGHT_LOWER_PALM	Right lower palm. Right Lower Palm position
RIGHT_UPPER_PALM	Right upper palm. Right Upper Palm position
LEFT_LOWER_PALM	Left lower palm. Left Lower Palm position
LEFT_UPPER_PALM	Left upper palm. Left Upper Palm position
RIGHT_INTERDIGITAL	Right interdigital palm. Right Interdigital Palm position
RIGHT_THENAR	Right thenar palm. Right Thenar Palm position
RIGHT_HYPOTHENAR	Right hypo thenar palm. Right Hypo-Thenar Palm position
LEFT_INTERDIGITAL	Left interdigital palm. Left Interdigital Palm position
LEFT_THENAR	Left thenar palm. Left Thenar Palm position
LEFT_HYPOTHENAR	Left hypo thenar palm. Left Hypo-Thenar Palm position

Function Documentation

IsoToPrintCaptureDeviceTechnology()

constexpr PrintCaptureDeviceTechnology IsoToPrintCaptureDeviceTechnology ( int isoCaptureDeviceTechnology )

staticconstexpr

Function converts ISO capture technology to PrintCaptureDeviceTechnology.

Parameters

isoCaptureDeviceTechnology

iso capture technology

Exceptions

EnrollmentInvalidArgumentException

for invalid conversion

Returns

PrintCaptureDeviceTechnology

References ELECTRO_LUMINESCENT, GLASS_FIBER, MECHANICAL, MONOCHROMATIC_VISIBLE_IR_OPTICAL, MONOCHROMATIC_VISIBLE_IR_OPTICAL_TIR, MONOCHROMATIC_VISIBLE_IR_OPTICALTOUCHLESS, MONOCHROMATIC_VISIBLE_OPTICAL_DIRECT, MONOCHROMATIC_VISIBLE_OPTICAL_TIR, MONOCHROMATIC_VISIBLE_OPTICAL_TOUCHLESS, MULTISPECTRAL_OPTICAL_DIRECT, MULTISPECTRAL_OPTICAL_TIR, MULTISPECTRAL_OPTICAL_TOUCHLESS, PRESSURE_SENSITIVE, SEMICONDUCTOR_CAPACITIVE, SEMICONDUCTOR_RF, SEMICONDUCTOR_THERMAL, ULTRASOUND, UNKNOWN, WHITE_LIGHT_OPTICAL_DIRECT, WHITE_LIGHT_OPTICAL_TIR, and WHITE_LIGHT_OPTICAL_TOUCHLESS.

Referenced by Print::FromIsoImage().

Here is the caller graph for this function:

IsoToPrintImpression()

constexpr PrintImpression IsoToPrintImpression ( int isoImpression )

staticconstexpr

Function converts ISO impression to PrintImpression.

Parameters

isoImpression

iso impression

Exceptions

EnrollmentInvalidArgumentException

for invalid conversion

Returns

PrintImpression

References LATENT_IMPRESSION, LATENT_LIFT, LATENT_PALM_IMPRESSION, LATENT_PALM_LIFT, LATENT_PALM_PHOTO, LATENT_PALM_TRACING, LATENT_PHOTO, LATENT_TRACING, LIVE_SCAN_OPTICAL_CONCTACTLESS_PLAIN, LIVE_SCAN_PALM, LIVE_SCAN_PLAIN, LIVE_SCAN_ROLLED, LIVE_SCAN_SWIPE, LIVE_SCAN_VERTICAL_ROLL, NONLIVE_SCAN_PALM, NONLIVE_SCAN_PLAIN, NONLIVE_SCAN_ROLLED, OTHER, and UNKNOWN.

Referenced by Print::FromIsoImage().

Here is the caller graph for this function:

IsoToPrintPosition()

constexpr PrintPosition IsoToPrintPosition ( int isoPosition )

staticconstexpr

Function converts ISO position to PrintPosition.

Parameters

isoPosition

iso position

Exceptions

EnrollmentInvalidArgumentException

for invalid conversion

Returns

PrintPosition

References LEFT_FULL_PALM, LEFT_HYPOTHENAR, LEFT_INDEX, LEFT_INTERDIGITAL, LEFT_LITTLE, LEFT_LOWER_PALM, LEFT_MIDDLE, LEFT_RING, LEFT_THENAR, LEFT_THUMB, LEFT_UPPER_PALM, LEFT_WRITERS_PALM, RIGHT_FULL_PALM, RIGHT_HYPOTHENAR, RIGHT_INDEX, RIGHT_INTERDIGITAL, RIGHT_LITTLE, RIGHT_LOWER_PALM, RIGHT_MIDDLE, RIGHT_RING, RIGHT_THENAR, RIGHT_THUMB, RIGHT_UPPER_PALM, and RIGHT_WRITERS_PALM.

Referenced by Print::FromIsoImage(), and ICSTemplate::ICSTemplate().

Here is the caller graph for this function:

PrintToIsoCaptureDeviceTechnology()

constexpr int PrintToIsoCaptureDeviceTechnology ( PrintCaptureDeviceTechnology printCaptureDeviceTechnology )

staticconstexpr

Function converts PrintCaptureDeviceTechnology to ISO capture technology.

Parameters

printCaptureDeviceTechnology

PrintCaptureDeviceTechnology

Exceptions

EnrollmentInvalidArgumentException

for invalid conversion

Returns

ISO capture technology

References ELECTRO_LUMINESCENT, GLASS_FIBER, MECHANICAL, MONOCHROMATIC_VISIBLE_IR_OPTICAL, MONOCHROMATIC_VISIBLE_IR_OPTICAL_TIR, MONOCHROMATIC_VISIBLE_IR_OPTICALTOUCHLESS, MONOCHROMATIC_VISIBLE_OPTICAL_DIRECT, MONOCHROMATIC_VISIBLE_OPTICAL_TIR, MONOCHROMATIC_VISIBLE_OPTICAL_TOUCHLESS, MULTISPECTRAL_OPTICAL_DIRECT, MULTISPECTRAL_OPTICAL_TIR, MULTISPECTRAL_OPTICAL_TOUCHLESS, PRESSURE_SENSITIVE, SEMICONDUCTOR_CAPACITIVE, SEMICONDUCTOR_RF, SEMICONDUCTOR_THERMAL, ULTRASOUND, UNKNOWN, WHITE_LIGHT_OPTICAL_DIRECT, WHITE_LIGHT_OPTICAL_TIR, and WHITE_LIGHT_OPTICAL_TOUCHLESS.

PrintToIsoImpression()

constexpr int PrintToIsoImpression ( PrintImpression printImpression )

staticconstexpr

Function converts PrintImpression to ISO impression.

Parameters

printImpression

PrintImpression

Exceptions

EnrollmentInvalidArgumentException

for invalid conversion

Returns

ISO impression

References LATENT_IMPRESSION, LATENT_LIFT, LATENT_PALM_IMPRESSION, LATENT_PALM_LIFT, LATENT_PALM_PHOTO, LATENT_PALM_TRACING, LATENT_PHOTO, LATENT_TRACING, LIVE_SCAN_OPTICAL_CONCTACTLESS_PLAIN, LIVE_SCAN_PALM, LIVE_SCAN_PLAIN, LIVE_SCAN_ROLLED, LIVE_SCAN_SWIPE, LIVE_SCAN_VERTICAL_ROLL, NONLIVE_SCAN_PALM, NONLIVE_SCAN_PLAIN, NONLIVE_SCAN_ROLLED, OTHER, and UNKNOWN.

Referenced by ICSTemplate::ToANSI(), and ICSTemplate::ToISO().

Here is the caller graph for this function:

PrintToIsoPosition()

constexpr int PrintToIsoPosition ( PrintPosition position )

staticconstexpr

Function converts Print position to ISO position.

Parameters

position

PrintPosition

Exceptions

EnrollmentInvalidArgumentException

when conversion is not possible

Returns

ISO Position

References LEFT_FULL_PALM, LEFT_HYPOTHENAR, LEFT_INDEX, LEFT_INTERDIGITAL, LEFT_LITTLE, LEFT_LOWER_PALM, LEFT_MIDDLE, LEFT_RING, LEFT_THENAR, LEFT_THUMB, LEFT_UPPER_PALM, LEFT_WRITERS_PALM, RIGHT_FULL_PALM, RIGHT_HYPOTHENAR, RIGHT_INDEX, RIGHT_INTERDIGITAL, RIGHT_LITTLE, RIGHT_LOWER_PALM, RIGHT_MIDDLE, RIGHT_RING, RIGHT_THENAR, RIGHT_THUMB, RIGHT_UPPER_PALM, and RIGHT_WRITERS_PALM.

Referenced by ICSTemplate::ICSTemplate(), ICSTemplate::ToANSI(), and ICSTemplate::ToISO().

Here is the caller graph for this function: