Systems and methods of multi-modal biometric analysis

Inventors

Ackerman, David Alan • Mapen, Barry E. • Green, John Timothy • Rusnock, Matthew Richard

Assignees

Princeton Identity Inc

Abstract

Exemplary embodiments are directed to a multi-modal biometric analysis system including one or more illumination sources, one or more cameras, and a processing device. The illumination sources are configured to illuminate an iris of a subject. The cameras are configured to capture one or more images of the subject during illumination of the subject with the one or more illumination sources. The images include iris biometric data associated with the iris of the subject and face biometric data associated with a face of the subject. The processing device receives as input the one or more images, analyzes the iris biometric data for iris biometric authenticity, analyzes the face biometric data for face biometric authenticity, and compares the iris biometric data and the face biometric data to determine the biometric authenticity of the subject.

Core Innovation

The invention provides a multi-modal biometric analysis system comprising one or more illumination sources and one or more cameras configured to illuminate and capture images of a subject. The captured images include iris biometric data associated with an iris of the subject and face biometric data associated with a face of the subject. A processing device receives the one or more images for authenticity and liveness/subject alive determination based on the captured iris and face biometric data.

For iris biometric authenticity, the processing device analyzes the iris biometric data by determining existence of retinal retro-reflection from a pupil of the subject in the one or more images. The detection of the retinal retro-reflection from the pupil is indicative of an authentic live eye of the subject. For face biometric authenticity, the processing device analyzes the face biometric data for face biometric authenticity based on facial biometric features including skin texture, facial shadow identification, and eye position detection.

The processing device compares the iris biometric data and the face biometric data to determine a biometric authenticity of the subject. The framework is extended to additional modalities including fingerprint, voice, gait, palm structure, and infrared palm/veins, where authenticity results from each modality are compared with iris/face authenticity for a final determination.

Claims Coverage

The claims cover a multi-modal biometric analysis system with three core inventive features, centered on comparative authenticity determination using iris and face modalities, live-eye indication via retinal retro-reflection, and extension to additional biometric modalities with authenticity comparison.

Overall, the claims focus on a comparative iris-and-face authenticity framework, anchored in live-eye indication through retinal retro-reflection, and expanded by dependent features that specify additional authenticity indicators and broaden modality coverage to include fingerprint and other modalities via authenticity comparison.

Stated Advantages

Documented Applications

No documented applications found