Image analysis – Applications – Personnel identification
Reexamination Certificate
2006-02-27
2010-11-30
Mariam, Daniel G (Department: 2624)
Image analysis
Applications
Personnel identification
C382S124000, C382S278000
Reexamination Certificate
active
07844084
ABSTRACT:
A method of comparing a test iris image with a candidate iris image comprises generating test and candidate lists representative of measured image values along respective curves around the pupils. Treating these list as periodic, a relative displacement is calculated at which one list best matches the other list. This determines the amount of rotation required for best match of the iris images. The method may be used either alone or in combination with other identity verification systems.
REFERENCES:
patent: 5291560 (1994-03-01), Daugman
patent: 5751836 (1998-05-01), Wildes et al.
patent: 6301376 (2001-10-01), Draganoff
patent: 6614919 (2003-09-01), Suzaki et al.
patent: 7197166 (2007-03-01), Jeng
patent: 7379567 (2008-05-01), Azuma et al.
patent: 7483569 (2009-01-01), Bhagavatula et al.
patent: 2005/0175225 (2005-08-01), Shinzaki
patent: 2006/0222212 (2006-10-01), Du et al.
patent: 2007/0036397 (2007-02-01), Hamza
patent: 1237117 (2002-09-01), None
Boles, et al. “A Human identification technique using images of the iris and wavelet transform”, IEEE, pp. 1185-1188, 1998.
J. Daugman, “The Importance of Being Random: Statistical Principles of Iris Recognition,” Pattern Recognition, vol. 36 pp. 279-291, 2003.
R.P. Wildes, “Iris Recognition: An Emerging Biometric Technology,” Proc. of the IEEE, vol. 85 pp. 1348-1363, 1997.
L. Ma, T. Tan, Y. Wang and D. Zhang, “Efficient Iris Recognition by Characterizing Key Local Variations,” IEEE Trans. on Image Processing, vol. 13, pp. 739-750, 2004.
Kazuyuki Miyazawa, Koichi Ito, Takafumi Aoki, Koji Kobayashi and H. Nakajima, “An Efficient Iris Recognition Algorithm Using Phase-Based Image Matching,” Proc. IEEE International Conference on Image Processing, Genoa, 2005.
Koichi Ito, Ayumi Morita, Takafumi Aoki, Tatsuo Higuchi, Hiroshi Nakajima and K. Kobayashi, “A Fingerprint Recognition Algorithm Using Phase-Based Image Matching for Low-Quality Fingerprints,” Proc. IEEE International Conference on Image Processing, Genoa, 2005.
“International Preliminary Report on Patentability in PCT Application No. PCT/GB2007/000668 mailed Nov. 5, 2007”, 11 pages.
Kumar, B V K et al., “Spatial frequency domain image processing for biometric recognition”,Proceedings 2002 International Conference on Image Processing. ICIP 2002. Rochester, NY, Sep. 22-25, 2002,International Conference on Image Processing, New York, NY:IEEE, US., vol. 2 of 3, Sep. 22, 2002, pp. 53-56, XP010607258 ISBN: 0-7803-7622 Sep. 22, 2002.
Siewchin, Chong et al., “Iris Authentication Using Privatized Advanced Correlation Filter”,Advances in Biometrics. International Conference, Proceedings(Lecture Notes in Computer Sciencevol. 3832), 2005, pp. 382-388, XP019026903.
Vijaya, Kumar B. et al., “Iris verification using correlation filters”,Audio- and Video-Based Biometric Person Authentication; 4th International Conference, AVBPA2003.ProceedingsJun. 9-11, 2003, Guildford, UK, pp. 697-705, XP002440485, (Lecture Notes in Computer Sciencevol. 2688).
Vijaya, Kumar B. et al., “Optimal Tradeoff Circular Harmonic Function Correlation Filter Methods Providing Controlled In-Plane Rotation Response”,IEEE Transactions on Image Processing, IEEE Service Center, Piscataway, NJ, US, vol. 9, No. 6, Jun. 2000, XP011025606 ISSN: 1057-7149.
Zhang, D. D., “Automated Biometrics Passage”,Automated Biometrics: Technologies and Systems, Kluwer Academic Publishers, Dordrecht, NL, 2000, pp. 170-175, XP002440484.
Mariam Daniel G
Ungaretti & Harris LLP
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