Image analysis – Applications – Personnel identification
Reexamination Certificate
2007-11-27
2007-11-27
Mehta, Bhavesh M (Department: 2624)
Image analysis
Applications
Personnel identification
C382S117000
Reexamination Certificate
active
10656885
ABSTRACT:
The Present invention relates to a method of recognizing the human iris corresponding to a field of a biometric technology, and more particularly to a method of recognizing human iris using Daubechies wavelet transform, wherein the dimensions of characteristic vectors are reduced by extracting iris features from inputted iris image signals through the Daubechies wavelet transform, binary characteristic vectors are generated by applying quantiztion functions to the extracted characteristic values so that utility of human iris recognition can be improved since storage capacity arid processing time thereof can be improved since storage capacity characteristic vectors, and a measurement process suitable for the low capacity characteristic vectors is employed when measuring vectors and previously registered characteristic vectors.
REFERENCES:
patent: 5291560 (1994-03-01), Daugman
patent: 0 664 037 (2001-12-01), None
Daubechies, Ingrid; Antonini, Marc; Barlaud, Michel; Mathieu, Pierre; Image Coding Using Wavelet Transform; Apr. 1992; IEEE; vol. 1, No. 2; p. 205-220.
Boles, et al., “A Human Identification Technique Using Images of the Iris and Wavelet Transform”, IEEE transactions on Signal Processing, vol. 46, No. 4, pp. 1185-1188, Apr. 1998.
Boles, “A Security System Based on Human Iris Identification Using Wavelet Transform”, 1997 First International Conference on Knowledge Based Intelligent Electronic Systems, pp. 533-541, May 21-23, 1997.
Boles, “A Wavelet Transform Based Technique for the Recognition of the Human Iris”, ISSPA (International Symposium on Signal Processing and its applications) Gold Coast, Australia, pp. 601-604, Aug. 25-30, 1996.
Knobbe Martens Olson & Bear LLP
Mehta Bhavesh M
Schaffer Jonathan
Senga Advisors, LLC
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