IMAGE AND FEATURE QUALITY FOR OCULAR-VASCULAR AND FACIAL RECOGNITION

Patent №

US 9,836,643

Granted

2017-12-05

Filed 2016

Owner

Lab

AI components

2

ml · vision

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

15261208

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.

Machine learningVisionG06V 40/168G06V 10/751G06V 10/993G06V 40/161G06V 40/172G06V 40/197G06V 10/467G06V 10/50+2 more

AI classification

Vision1.00
Machine learning0.94
Evolutionary computation0.15
AI hardware0.11
Planning0.00
Speech0.00
Knowledge representation0.00
Natural language0.00
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