Statistical Match For Facial Biometric To Reduce False Accept Rate/False Match Rate (FAR/FMR)
OwnerJeffrey Dussich, McKen Makinventors
Life of this patent
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Abstract
This invention encompasses a method to improve the facial recognition biometrics matching process by applying a statistical analysis to the matching of an individual with multiple probe images to an individual with multiple enrolled images. The method uses two compensation tables to provide an overall matching score based on the percentage of matches between the probe individual collection of images and the enrolled individual collection of images, as well as the strength of the individual matches. The method results in a final score that represents a comparison of the oddities in the individual probe-enrollment matches.
Claims14
A method for calculating the accuracy of a facial recognition algorithm, comprising:
- acquiring a probe template;
- acquiring an enrollment template;
- cross-matching the probe template and the enrollment template, using a facial recognition biometric algorithm to calculate a biometric match score;
- adjusting a template score;
- adjusting a probe score;
- calculating an adjusted probe score;
- and determining that the facial recognition algorithm is accurate if the adjusted probe score is greater than a predetermined matching threshold.
A system for calculating the accuracy of a facial recognition algorithm, comprising:
- a device for acquiring a probe template;
- a device for acquiring an enrollment template;
- a device for cross-matching the probe template and the enrollment template;
- a device for adjusting a template score;
- a device for adjusting a probe score;
- and
- a device for calculating an adjusted probe score;
- wherein the system determines that the facial recognition algorithm is accurate if the adjusted probe score is greater than a predetermined matching threshold.
A computer comprising a CPU processor, a display, memory, and input/output, wherein the computer is connected to a database storage unit and receives information to calculate the accuracy of a facial recognition algorithm, wherein the computer is configured to:
- acquire a probe template;
- acquire an enrollment template;
- cross-match the probe and enrollment templates;
- adjust a template score;
- adjust a probe score;
- and
- calculate an adjusted probe score;
- wherein the computer determines that the facial recognition algorithm is accurate if the adjusted probe score is greater than a predetermined matching threshold.
A computer-readable medium storing instructions, the instructions comprising:
- directing a device to acquire a probe template;
- directing a device to acquire an enrollment template;
- directing a device to cross-match the probe and enrollment templates;
- directing a device to adjust a template score;
- directing a device to adjust a probe score;
- directing a device to calculate an adjusted probe score;
- and directing the computer to indicate that the facial recognition algorithm is accurate if the adjusted probe score is greater than a predetermined matching threshold.
Dependencies are inferred from the claim text.