Knomi includes a solution for document authentication and facial matching, which is ideal for biometric identity proofing as part of a mobile onboarding process using a government-issued credential such as a driver’s license or passport. Knomi DocAuth can be implemented in either a server-centric or browser-based architecture.
- Assisted capture of credential (front and back)
- OCR-powered capture of printed and bar-encoded data
- Detection of document security features (white light)
- Automated capture of printed facial image and live facial image
- NIST-tested facial recognition algorithms
- Robust, multi-algorithm face spoof detection for authentication and identity proofing (paper, digital, video, 2D/3D masks)
- Comparison of printed to bar-encoded data
- NFC reading of e-passport chip data
- Server-centric or browser-based architecture
Knomi DocAuth performs assisted capture of the front and back of the credential, and then automatically extracts the facial image, printed information, and bar-encoded data. It then collects a live facial image, applying several attack detection algorithms to prevent spoofs. A facial match is calculated and analysis of the collected data performed to verify the authenticity of the credential and the identity of its possessor.
Knomi’s advanced face-based presentation attack detection algorithms detect not only authentication spoofs, but also false non-match spoofs that impact the ability to use the biometrics for other biometric identity proofing functions such as watch list checks and duplicate prevention.