List of recent changes in Digital Onboarding Toolkit.
DOT Mobile Libraries 6.0: DOT Face, DOT Face Light and DOT Document
- There was an API change to consolidate all the mobile libraries to one pattern.
- The Active Authentication of NFC enabled documents now supports also explicit challenge-response intiated by server.
- The Passive Liveness detecion model was improved resulting in beter accuracy. Update of thresholds is needed as recommended in MagnifEye Liveness Detection page.
- New semi-passive liveness added: MagnifEye liveness. This method takes into account the liveness of a face photo combined with the clos-up of the eye.
- New web component to provide face auto capture collecting the data needed for evaluation of MagnifEye liveness on server.
- New UI component to provide face auto capture collecting the data needed for evaluation of MagnifEye liveness on server.
- The active authentication was extended by the Chip Authentication and it is possible to define the authentication challenge. This enables integrators to initiate the authentication from server.
- The document liveness detection model for screen attacks was improved. This provides far stronger protection against attempts to display fake ID documents on phone or tablet screens.
- The web components were divided into UI and non-UI layer. This opens up the possibility to create integrator’s own custom UI layer component for the auto capture process. Please, read the migration guide.
New Mobile SDK versioning
- All mobile libraries (DOT Document, DOT Face, DOT Face Lite and DOT NFC) are released simultaneously with a single version name. This is done to guarantee that the libraries with the same version name work correctly together.
- The “Disclose” API method was added to provide more technical details on identity verification, such as matching scores. This is for projects, where different matching thresholds are needed for different operations.
- The throughput and latency of the document and face processes were significantly improved, resulting in a better user experience and lower infrastructure costs. See the performance measurements to calculate your scaling.
- More information was added to the training set of the Passive Liveness Detection model to increase its accuracy. See the new FAR/FRR table. The score distribution has changed, requiring a modification in the thresholds to maintain the same level of FAR.
- Many new document editions are recently supported, please see the Document changelog
Animations for auto capture tutorials
- Vector animations in Lottie and Android Vector Drawable formats to instruct the user how to take the best selfie and image of document.
- Customizable to match the design of the app.
- Available in a GitHub repository
- Introduced support for multi-tenancy of Digital Identity Service - cached data are isolated from calls with different API key in request.
- More information was added to the training set of the Passive Liveness Detection model to increase its accuracy. See the new FAR/FRR table for more information. The score distribution has changed, requiring a modification in the thresholds to maintain the same level of FAR.
- Tens of new document editions are recently supported, including many US driver’s licenses Document changelog
- More robust reading of Machine Readable Zone
- Possibility to restart auto capture in case the captured image has low quality and app needs a retry
- In order to be able to evaluate the passive document authentication on the server, the mobile component now returns also the raw NFC data.
- The iOS version of the library also supports Access Control Protocol PACE for travel documents supporting it. This provides more security than BAC.
DOT Digital Identity Service 1.4
- Added licensing support for docker environments
- Document changelog