Image analysis – Applications – Personnel identification
Reexamination Certificate
2005-08-19
2009-11-24
Bella, Matthew C. (Department: 2624)
Image analysis
Applications
Personnel identification
C382S276000
Reexamination Certificate
active
07623685
ABSTRACT:
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.
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Boult Terrance Edward
Wang Chia-Jiu
Zheng Gang
Bella Matthew C.
Halling Dale B.
Perungavoor Sath V.
The Regents of the University of Colorado
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