BIOMETRIC SIGNATURES AND IDENTIFICATION THROUGH THE USE OF PROJECTIVE INVARIANTS

Patent №

US 7,623,685

Granted

2009-11-24

Filed 2007

Owner

THE REGENTS OF THE UNIVERSITY OF COLORADO

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11659640

Techniques, systems and methods for obtaining biometric signatures and identification are described. Broadly stated, embodiments of the present invention utilize specified geometric principles to provide means for accurate biometric identification using projective invariant features of a subregion of the human body. The present invention provides a means for computing biometric signatures and identification that are projective invariant and hence are not impacted by the viewing angle of the subregion of the human body containing the biometric data. This novel invention removes the restriction, often implicit in the previous work, of the imaging or sensing system being in a fixed repeatable (and generally orthogonal) viewing position. This invention can be applied across a wide range of biometrics, although it is most easily applicable to features that are approximately co-planar. A plurality of such projective invariant features can be used to define a biometric signature to either verify an individual's identity, or recognize an individual from a database of already known persons.

AI classification

Vision1.00
AI hardware0.01
Machine learning0.00
Speech0.00
Knowledge representation0.00
Planning0.00
Natural language0.00
Evolutionary computation0.00

Ownership

THE REGENTS OF THE UNIVERSITY OF COLORADO

assignment · 170190078

Assignors

BOULT, TERRANCE EDWARD, ZHENG, GANG, WANG, CHIA-JIU

On an employer assignment, the assignors are typically the inventors.

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