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QUALITY IMAGES AND FEATURES, IMPROVING IMAGES AND IDENTIFICATION OF FEATURES FOR RECOGNITION OF EYES AND PERSONS, AND ASSOCIATION OF INFORMATION ON EYE VESSELS WITH PERSONAL INFORMATION ON PERSONS, AND / CHURCHESAW FITTING CHRISTNESS CHURCHES OF EYES AND PERSONALITIES AND EYES AND PERSONALITY OF OUT OF EYES AND PERSONS, AND UNIFIED INFORMATION
QUALITY IMAGES AND FEATURES, IMPROVING IMAGES AND IDENTIFICATION OF FEATURES FOR RECOGNITION OF EYES AND PERSONS, AND ASSOCIATION OF INFORMATION ON EYE VESSELS WITH PERSONAL INFORMATION ON PERSONS, AND / CHURCHESAW FITTING CHRISTNESS CHURCHES OF EYES AND PERSONALITIES AND EYES AND PERSONALITY OF OUT OF EYES AND PERSONS, AND UNIFIED INFORMATION
Biometric enrollment and verification techniques for ocular-vascular, periocular, and facial regions are described. Periocular image regions can be defined based on the dimensions of an ocular region identified in an image of a facial region. Feature descriptors can be generated for interest points in the ocular and periocular regions using a combination of patterned histogram feature descriptors. Quality metrics for the regions can be determined based on region value scores calculated based on texture surrounding the interest points. A biometric matching process for calculating a match score based on the ocular and periocular regions can progressively include additional periocular regions to obtain a greater match confidence.
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