Princeton Identity, Inc.

Erik Myhrer

David Alan Ackerman

Kyle James O'Connor

Bobby S Varma

Jean-Michel Florent

Kenneth R Boutot

Andrew Mcgalliard

James DiNapoli

Paul DuPiano

Sean Singer

Disclosed herein are methods, apparatus, and systems for face biometric recognition. A biometric recognition device includes at least one non-visible illuminator, at least one image capture device, and a processor. The at least one image capture device and the at least one non-visible illuminator are in a differential measurement configuration. The processor determines one or more eyes and a face from one or more captured images, performs liveness detection by comparing one or more pupil images from even-odd image pairs from the one or more captured images, wherein a non-noise color or brightness difference indicates pupil liveness, performs face encoding on the live face to generate face template, performs face matching on the face template to generate a face result, and uses one or more of the liveness result and the face result to enable the user to access an object.

Face biometric recognition with anti-spoofing

Disclosed herein are methods, apparatus, and systems for seamless biometric self-enrollment. The method including automatically: capturing, by a biometric capture device, biometric modality data for a user in response to a presentation of a user trusted credential for logical access or access to an object during an enrollment process, determining, by an enrollment system, whether biometric modalities for the user are stable, generating a biometric modality template for each unstable biometric modality, replacing a matched stored biometric modality template with the biometric modality template when the biometric modality template is qualitatively better than the matched stored biometric modality template, performing stability accounting when the matched stored biometric modality template is at least qualitatively equal to the biometric modality template, and initiating access processing when at least all biometric modalities are stable and verified.

Method and system for seamless biometric system self-enrollment

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New Brunswick, NJ, United States of America

Erik Myhrer