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References
S.Z. Li, A.K. Jain (eds.), Handbook of Face Recognition (Springer, New York, 2005)
A. Blake, M. Isard, Active Contours (Springer, Heidelberg, 1988)
M. Kass, A. Witkin, D. Terzopoulos, Snakes: active contour models. Int. J. Comput. Vis. 1, 321–331 (1988)
K. Bowyer, K. Hollingsworth, P. Flynn, Image understanding for iris biometrics: a survey. University of Nortre Dame CSE Technical report, 2007
J. Daugman, High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. Pattern Anal. Mach. Intell. 15(11), 1148–1161 (1993)
J. Daugman, How iris recognition works. IEEE Trans. Circuits Syst. Video Technol. 14(1), 21–30 (2004)
J. Thornton, M. Savvides, B. Vijaya Kumar, A bayesian approach to deformed pattern matching of iris images. IEEE Trans. Pattern Anal. Mach. Intell. 29(1), 596–606 (2007)
S. Park, National Institute of Standards and Technology, Iris Challenge Evaluation. http://iris.nist.gov/ice/
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Park, S.W., Savvides, M. (2015). Iris Segmentation Using Active Contours. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_254
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