How Iris Recognition Works

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 14, Issue 1, 2004, Pages 21-30

  Daugman, John ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Biometrics; Decision theory; Demodulation; Focus assessment; Gabor wavelets; Iris recognition

Indexed keywords

ALGORITHMS; COMBINATORIAL MATHEMATICS; DATABASE SYSTEMS; DECISION THEORY; DEGREES OF FREEDOM (MECHANICS); DEMODULATION; STATISTICAL METHODS; WAVELET TRANSFORMS;

BIOMETRICS; IRIS RECOGNITION;

PATTERN RECOGNITION;

EID: 0742290132     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2003.818350     Document Type: Article

References (18)

1. Y. Adini, Y. Moses, and S. Ullman, "Face recognition: the problem of compensating for changes in illumination direction," IEEE Trans. Pattern Anal. Machine Intell., vol. 19, pp. 721-732, July 1997.
2. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition using class-specific linear projection," IEEE Trans. Pattern Anal. Machine Intell., vol. 19, pp. 711-720, July 1997.
3. L. Berggren, "Iridology: A critical review," Acta Ophthalmol., vol. 63, no. 1, pp. 1-8, 1985.
4. M. R. Chedekel, "Photophysics and photochemistry of melanin," in Melanin: Its Role in Human Photoprotection. Overland Park: Valdenmar, 1995, pp. 11-23.
5. T. Cover and J. Thomas, Elements of Information Theory. New York: Wiley, 1991.
6. J. Daugman, "Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters," J. Opt. Soc. Amer. A, vol. 2, no. 7, pp. 1160-1169, 1985.
7. _, "Complete discrete 2D gabor transforms by neural networks for image analysis and compression," IEEE Trans. Acoust., Speech, Signal Processing, vol. 36, pp. 1169-1179, July 1988.
8. _, "High confidence visual recognition of persons by a test of statistical independence," IEEE Trans. Pattern Anal. Machine Intell., vol. 15, pp. 1148-1161, Nov. 1993.
9. _, "Biometric Personal Identification System Based on Iris Analysis," U.S. Patent 291 560, 1994.
10. _, "Statistical richness of visual phase information: Update on recognizing persons by their iris patterns," Int. J. Computer Vision, vol. 45, no. 1, pp. 25-38, 2001.
11. J. Daugman and C. Downing, "Demodulation, predictive coding, and spatial vision," J. Opt. Soc. Amer. A, vol. 12, no. 4, pp. 641-660, 1995.
12. _, "Epigenetic randomness, complexity, and singularity of human iris patterns," Proc. Royal Soc.: Biological Sciences, vol. 268, pp. 1737-1740, 2001.
13. P. Kronfeld, "Gross anatomy and embryology of the eye," in The Eye, H. Davson, Ed. London, U.K.: Academic, 1962.
14. A. Pentland and T. Choudhury, "Face recognition for smart environments," Computer, vol. 33, no. 2, pp. 50-55, 2000.
15. P. J. Phillips, A. Martin, C. L. Wilson, and M. Przybocki, "An introduction to evaluating biometric systems," Computer, vol. 33, no. 2, pp. 56-63, 2000.
16. P. J. Phillips, H. Moon, S. A. Rizvi, and P. J. Rauss, "The FERET evaluation methodology for face-recognition algorithms," IEEE Trans. Pattern Anal. Machine Intell., vol. 22, no. 10, pp. 1090-1104, 2000.
17. A. Simon, D. M. Worthen, and J. A. Mitas, "An evaluation of iridology," J. Amer. Med. Assoc., vol. 242, pp. 1385-1387, 1979.
18. R. Viveros, K. Balasubramanian, and N. Balakrishnan, "Binomial and negative binomial analogues under correlated bernoulli trials," Amer. Statistician, vol. 48, no. 3, pp. 243-247, 1984.