[1] John Daugman. High confidence visual recognition of persons by a test of statistical independence[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(1): 1148～1161

[2] John Daugman. The importance of being random: statistical principles of iris recognition[J]. Pattern Recognition, 2003, 36(2): 279～291

[3] John Daugman. How iris recognition works[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2004, 14(1): 21～30

[4] Richard .P Wildes. Iris recognition: an emerging biometric technology[C]. Proc. IEEE, 1997, 85(9): 1348～1363

[5] W W Boles, B Boashash. A human identification technique using images of the iris and wavelet transform[J]. IEEE Transactions on Signal Processing, 1998, 46(4): 1185～1188

[6] Jaemin Kim, Seongwon Cho, Jinsu Choi et al.. Iris recognition using wavelet features[J]. J. VLSI Signal Processing, 2004, 38(2): 147～156

[7] Li Ma, Tieniu Tan, Yunhong Wang et al.. Efficient iris recognition by characterizing key local variations[J]. IEEE Transactions on Image Processing, 2004, 13(6): 739～750

[11] Yuan Weiqi, Xu Lu, Lin Zhonghua. An accurate and fast iris location method based on the features of human eyes[C]. In Proceedings of 2nd International Conference on Fuzzy Systems and Knowledge Discovery, 2005, LNAI 3614: 306～315

[15] Institute of Automation, Chinese Academy of Sciences. CASIA Iris Image Database (ver 1.0). http:∥www.sinobiometrics.com. 2004