Iris extraction method capable of precisely determining...

Image analysis – Applications – Personnel identification

Reexamination Certificate

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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).

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