[1] Daugman J G. Probing the uniqueness and randomness of iris codes：results from 200 billion iris pair comparisons [J]. Proc IEEE (S0018-9219)，2006，94(11)：1927-1935.
[2] Wildes R P. Iris recognition：an emerging biometric technology [J]. Proc. IEEE (S0018-9219)，1997，85(9)：1348-1363.
[3] MA L，TAN T N，WANG Y H. Personal identification based on iris texture analysis [J]. IEEE Trans Pattern Anal Mach Intell(S0162-8828)，2003，25(12)：1519-1533.
[4] MA L，TAN T N，WANG Y H，et al. Efficient iris recognition by characterizing key local variations [J]. IEEE Trans. on Image Processing (S1057-7149)，2004，13(6)：739-750.
[5] FENG G，WU Y Q. An iris recognition algorithm based on DCT and GLCM [J]. Proceedings of the SPIE (S0277-786X)，2008，7000：1-8.
[6] Dey S，Samanta D. An efficient approach to iris detection for iris biometric processing [J]. International Journal of Computer Applications in Technology (S0952-8091)，2009，35(1)：2-9.
[7] YU L，ZHANG D，WANG K，et al. Coarse iris classification using box-counting to estimate fractal dimensions [J]. Pattern Recognition(S0031-3203)，2005，38：1791-1798.
[8] QIU X C，SUN Z N，TAN T N. Coarse iris classification by learned visual dictionary [J]. Lecture Notes in Computer Sciences(S0302-9743)，2007，4642：770-779.
[9] Paschos G，Petrou M. Histogram Ratio Features for Color Texture Classification [J]. Pattern Recognition Letters(S0167-8655)，2003，24(13)：309-314.
[10] TANG R N，HAN J Q，ZHANG X M. An effective iris location method with high robustness [J]. Optica Applicata
(S0078-5466)，2007，37(3)：295-303.
[11] TANG Rong-nian，HAN Jiu-qiang，ZHANG Xin-man. Iris recognition method using Log-Gabor filter and multi-resolution analysis [J]. Journal of Xi’an Jiaotong University，2009，43(4)：30-33，61.
[12] Center for biometric and security research. CASIA Iris image database [EB/OL]. (2003-10). [2006-8]. http ：//www.cbsr.ia.ac.cn/IrisDatabase.htm.
