Image analysis – Applications – Personnel identification
Reexamination Certificate
2007-03-27
2007-03-27
Mancuso, Joseph (Department: 2624)
Image analysis
Applications
Personnel identification
C382S217000, C382S215000
Reexamination Certificate
active
10601598
ABSTRACT:
The present invention relates to an iris extraction method. In the method, two searching regions are defined in a face image. A deformable template match algorithm and an energy function are used to measure the energy of each pixel with different hypothetical circular templates within the searching region. Pixels with the same hypothetical radius having energies greater than a predetermined threshold are recorded as iris candidates, wherein the pixel having the maximal energy is recorded as first iris candidate. Further, it detects associated iris pairs from iris candidates in each searching region, records the lower iris candidate having the maximal energy of iris pairs as second iris candidate, and selects the best iris candidate from first iris candidate and second iris candidate. Finally, it designates the best iris candidate having the maximal energy of all best iris candidates with different hypothetical radius as the iris in the face image.
REFERENCES:
patent: 5291560 (1994-03-01), Daugman
patent: 6920237 (2005-07-01), Chen et al.
patent: 2003/0016846 (2003-01-01), Chen et al.
Xie (Automatic extraction and tracking of eye features from facial image sequences, Proquest, AAT 9434636, Chapter 4, 1994).
Wang (Automatic eye feature extraction based on Hough transform and eyelid deformable template, SO Journal of Infrared and Millimeter Waves, Feb. 1999, vol. 18, No. 1, p. 53-60).
Bacon & Thomas PLLC
Industrial Technology Research Institute
Mancuso Joseph
Wang Claire
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