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Biometric Identification Service

Biometric Identification Service (formerly LFIS) is a high-performance, server-based biometric API for 1:N identification and verification using face and palm modalities. It is the path for centralized, large-gallery identification beyond the on-device 1:N limit (~1:50K). Built with cloud-native principles, it can be deployed on-premises or in the customer's cloud. Passive liveness detection is available as an add-on for both face and palm.

Inputs

The service accepts two kinds of input:

  • Images — captured by the mobile or on-device capture components (for example DOT Auto-capture); the service performs detection, quality assessment, and template extraction server-side. This is the primary, most broadly compatible path.
  • Templates — face/palm templates already extracted on the device by the SFE Toolkit, submitted directly for matching. Sending templates requires a compatible template version between the on-device SFE Toolkit and the service; otherwise submit images instead.

Capabilities

FeatureDescription
Detection & Quality AssessmentAutomatic detection of faces and palms from incoming images, including quality assessment to ensure compliance with recognition thresholds.
1:N IdentificationSearches a live-captured image or extracted template against a configurable watchlist and returns the most likely match with a confidence score.
Passive Liveness DetectionDetects presentation attacks without requiring user interaction, for both face and palm modalities.
Watchlist ManagementEnroll, update, and remove biometric data via API. Supports dynamic watchlist creation and unlimited watchlists within the standard database size.
RESTful APISupports real-time matching, asynchronous queries, and secure communications (TLS, authentication tokens). Integrates with web, mobile, or embedded client applications.
Cloud-ready DeploymentDeployable as a local server component or scaled in Kubernetes/Docker-based cloud infrastructure.

Supported platforms

PlatformArchitecture
Linuxx86_64

See also