[1] A. Jain, R. Bolle, S. Pankanti, “Biometrics: Personal Identification in a Networked Society,” Kluwer Academic Publishers, 1999.
[2] F. Adler, “Physiology of the Eye: Clinical Application,” Fourth edition London: The C.V. Mosby Company, 1965.
[3] John G. Daugman, “Biometric Personal Identification System Based on Iris Analysis,” US Patent, no. 5291560, 1994.
[4] M. Gopikrishnan, T. Santhanam, “Neural Network Based Accurate Biometric Recognition and Identification of Human Iris Patterns,” Journal of Computer Science, vol. 6, no. 10, pp. 1170-1173, 2010.
[5] Rahib H. Abiyev, Koray Altunkaya, “Personal Iris Recognition Using Neural Network,” International Journal of Security and its Applications, vol. 2, no. 2, pp. 41-50, April 2008.
[6] John G. Daugman, “High Confidence Visual Recognition of Persons by a Test of Statistical Independence,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1148-1161, 1993.
[7] John G. Daugman, C. Downing, “Recognizing iris texture by phase demodulation,” IEEE Colloquium on Image Processing for Biometric Measurement, vol. 2, pp. 1-8, 1994.
[8] John G. Daugman, “Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns,” International Journal of Computer Vision, vol. 45, no. 1, pp. 25-38, 2001.
[9] John G. Daugman, “Demodulation by Complex-Valued Wavelets for Stochastic Pattern Recognition,” International Journal of Wavelets, Multi resolution and Information Processing, vol. 1, no. 1, pp. 1-17, 2003.
[10] John G. Daugman, “How iris recognition works,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, pp. 21-30, January 2004.
[11] Libor Masek, “Recognition of Human Iris Patterns for Biometric Identification,” Report for Bachelor of Engineering degree, Presented to the School of Computer Science and Software Engineering, The University of Western Australia, 2003.
[12] R. Wildes, J. Asmuth, G. Green, S. Hsu, R. Kolczynski, J. Matey, S. McBride, “A Machine-Vision System for Iris Recognition,” Machine Vision and Applications, vol. 9, pp. 1-8, 1996.
[13] R. Wildes, “Iris Recognition: An emerging Biometric Technology,” IEEE Proceedings, vol. 46, no. 4, pp. 1185-1188, 1998.
[14] Li Ma, Y. H. Wang, T. N. Tan, “Iris recognition based on multichannel Gabor filtering,” Proceedings of the Fifth Asian Conference on Computer Vision, Australia, pp. 279-283, 2002.
[15] W. Boles, B. Boashash, “A Human Identification Technique Using Images of the Iris and Wavelet Transform,” IEEE Transactions on Signal Processing, vol. 46, no. 4, pp. 1185-1188, 1998.
[16] C. Sanchez-Avila, R. Sanchez-Reillo, “Iris-Based Biometric Recognition Using Dyadic Wavelet Transform,” IEEE Aerospace and Electronic Systems Magazine, pp. 3-6, 2002.
[17] Li Ma, Tieniu Tan, Yunhong Wang, Dexin Zhang, “Personal Identification Based on Iris Texture Analysis,” IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 25, no. 12, 2003.
[18] S. Lim, K. Lee, O. Byeon, T. Kim, “Efficient Iris Recognition through Improvement of Feature Vector and Classifier,” ETRI Journal, vol. 23, no. 2, pp. 61-70, 2001.
[19] C. Tisse, L. Martin, L. Torres, M. Robert, “Person Identification Technique Using Human Iris Recognition,” Proceedings of Vision Interface, pp. 294-299, 2002.
[20] Ya-Ping Huang, Si-Wei Luo, En-Yi Chen, “An Efficient Iris Recognition System,” Proceedings of the First International Conference on Machine Learning and Cybernetics, Beijing, November 2003.
[21] Yong Wang, Jiu-Qiang Han, “Iris Recognition Using Independent Component Analysis,” Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 2005.
[22] V. Dorairaj, N. Schmid, G. Fahmy, “Performance Evaluation of Iris Based Recognition System Implementing PCA and ICA Techniques,” Proceedings of SPIE 2005 Symposium, Orlando, 2005.
[23] Michael J. Brown, “Singular Value Decomposition & 2D Principal Component Analysis of Iris Biometrics for Automatic Human Identification,” Master of Science Thesis, Presented to Russ College of Engineering & Technology, Ohio University, June 2006.
[24] Jong Gook Ko, Youn Hee Gil, Jang Hee Yoo, Il Chung, “Method of Iris Recognition using Cumulative-Sum-Based Change Point Analysis and Apparatus using the same,” U.S. Patent Application Publication, Pub. no.: US 0014438 A1, January 2007.
[25] Jong Gook Ko, Youn Hee Gil, Jang Hee Yoo, Il Chung, “A Novel and Efficient Feature Extraction Method for Iris Recognition,” ETRI Journal, vol. 29, no. 3, pp. 399- 401, June 2007.
[26] Gail A. Carpenter, Stephen Grossberg, Natalya Markuzon, John H. Reynolds, David B. Rosen, “Fuzzy ARTMAP: A Neural Network Architecture for Incremental Supervised Learning of Analog Multidimensional Maps,” IEEE Transactions on Neural Networks, vol. 3, no. 5, pp. 698-713, September 1992.
[27] Gail A. Carpenter, Stephen Grossberg, John H. Reynolds, “Fuzzy ARTMAP, Slow Learning, and Probability Estimation,” Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, January 1993.
[28] Center for Biometrics and Security Research, Institute of Automation, Chinese Academy of Sciences. Iris Image Database (CASIA V1.0) http://www.cbsr.ia.ac.cn/IrisDatabase.htm, Accessed June 2011.
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