The importance ofbeing random: statistical principles ofiris recognition

The statistical variability that is the basis ofiris recognition is analysed in this paper using new large databases. The principle underlying the recognition algorithm is the f

[1]  N. Balakrishnan,et al.  Binomial and Negative Binomial Analogues under Correlated Bernoulli Trials , 1994 .

[2]  P. Kronfeld The Gross Anatomy and Embryology of the Eye , 1962 .

[3]  Hyeonjoon Moon,et al.  The FERET Evaluation Methodology for Face-Recognition Algorithms , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  J. Daugman Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[5]  A. Simón,et al.  An evaluation of iridology. , 1979, JAMA.

[6]  Alex Pentland,et al.  Face Recognition for Smart Environments , 2000, Computer.

[7]  J G Daugman,et al.  Demodulation, predictive coding, and spatial vision. , 1995, Journal of the Optical Society of America. A, Optics, image science, and vision.

[8]  John G. Daugman,et al.  Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression , 1988, IEEE Trans. Acoust. Speech Signal Process..