Browse > Article
http://dx.doi.org/10.9708/jksci.2012.17.2.031

Rotation-Invariant Iris Recognition Method Based on Zernike Moments  

Choi, Chang-Soo (Dept. of Computer Engineering, Chungbuk National University, College of Electronics & Information)
Seo, Jeong-Man (Dept. of Computer Game Design, Korea National College of Rehabilitation & Welfare)
Jun, Byoung-Min (Dept. of Computer Engineering, Chungbuk National University, College of Electronics & Information)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.2, 2012 , pp. 31-40 More about this Journal
Abstract
Iris recognition is a biometric technology which can identify a person using the iris pattern. It is important for the iris recognition system to extract the feature which is invariant to changes in iris patterns. Those changes can be occurred by the influence of lights, changes in the size of the pupil, and head tilting. In this paper, we propose a novel method based on Zernike Moment which is robust to rotations of iris patterns. we utilized a selection of Zernike moments for the fast and effective recognition by selecting global optimum moments and local optimum moments for optimal matching of each iris class. The proposed method enables high-speed feature extraction and feature comparison because it requires no additional processing to obtain the rotation invariance, and shows comparable performance to the well-known previous methods.
Keywords
Biometrics; Iris recognition; Zernike Moment; Iris rotation invariance;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 John Daugman, "High Confidence Visual Recognition of Person by a Test of tatistical Independence", IEEE Trans. Pattern Anal. Machine Intell., 15(11), pp. 1148-1161, 1993.   DOI   ScienceOn
2 R. Wildes, J.C. Asmuth, G.L. Green, S.C. Hsu, R.J. Kolczynski, J.R. Matey and S.E. McBride, "A system for automated iris recognition", Proceedings of the IEEE Workshop on Applications of Computer Vision, pp. 121-128, 1994.
3 Alireza Khotanzad and YawHua Hong, "On Image Analysis by the Methods of Moments," IEEE Trans. Pattern Anal. Machine Intell., vol. 12, pp. 489-497, May 1990.   DOI   ScienceOn
4 http://www.sinobiometrics.com
5 S. Noh, K. Pae, C. Lee, J. Kim. "Multiresolution independent component analysis for iris identification," The 2002 International Technical Conference on Circuits/Systems, Computers and Communications, Phuket, Thailand, 2002.
6 Chang-Soo Choi, Byoung-Min Jun, "Robust-to-r otation Iris Recognition Using Local Gradient Orientation Histogram", Korea Information and Communications Society, vol. 34, no. 3, pp. 268-273, 2009.
7 W.W. Boles, "A wavelet transform based technique for the recognition of the human iris", Proceedings of the International Symposium on Signal Processing and its Application, ISSPA, Gold Coast, Australia, pp. 25-30, August, 1996.
8 C. Tisse L. Martin L. Torres and M. Robert, "Person Identification Technique Using Human Iris Recognition", Proc. Vision Interface, pp. 294-299, 2002.
9 Y. Zhu, T. Tan and Y. Wang, "Biometric personal Identification based on iris pattern", Proceeding of. 15th International Conference on Pattern Recognition, vol. 2, pp. 801-804, 2000.
10 S. Lim K. Lee O. Byeon and T. Kim, "Efficient Iris Recognition through Improvement of Feature Vector and Classifier", ETRI Journal, vol. 23, no. 2, pp. 61-70, 2001.   과학기술학회마을   DOI   ScienceOn
11 Li Ma, Tieniu Tan and Yunhong Wang, "Efficient Iris Recognition by Characterizing Key Local Variations", IEEE Trans. Image Processing ,13(6), pp. 739-750, 2004.   DOI   ScienceOn
12 RajeshM. Bodade and Sanjay N. Talbar, "Shift Invariant Iris Feature Extraction using Rotated Complex Wavelet and Complex Wavelet for Iris Recognition System", 2009 Seventh International Conference on Advances in Pattern Recognition, pp. 449-452, 2009.
13 Zhiping Zhou, Huijun Wu and Qianxing Lv, "A New Iris Recognition Method Based on Gabor Wavelet Neural Network", International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 1101-1104, 2009.
14 Chang-Soo Choi, Jong-Cheon Park and Byoung-Min Jun, "A Iris Recognition Using Zernike Moment and Wavelet", Korea Academia-industrial cooperation Society, vol. 11 no. 11, pp.4568-4575, 2010   과학기술학회마을   DOI   ScienceOn