Iris recognition algorithm based on fractal dimension

被引：0
|
作者：
Wang, Chang-Yu [1 ]
Song, Shang-Ling [1 ]
机构：
[1] School of Information Science and Engineering, Shandong University
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2007年 / 33卷 / 07期
关键词：
Extreme value weighted mean; Fractal dimension; Iris recognition;
D O I：
10.1360/aas-007-0698
中图分类号：
学科分类号：
摘要：
This paper presents an iris recognition algorithm based on fractal dimension in feature extraction. Considering that the iris of Asian people has low contrast texture, a system is devised to get high resolution and good quality images. First, the iris is located by a circle detector according to mathematical morphology, and mapped to polar coordinates space. Then a new definition of fractal dimension-extreme value weighted mean fractal dimension is given, and with it the feature matrix is extracted. At last, a correlation classifier is used in matching stage. The experimental results show that extreme value weighted mean fractal dimension can extract the features that represent the iris, and the recognition algorithm is precise and rapid.
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页码：698 / 702
页数：4
相关论文
共 15 条
  • [1] Flom L., Safir A., Iris recognition system, (1987)
  • [2] Adler F.H., Adlcr's Physiology of the Eye, (1965)
  • [3] Kronfeld P.C., The gross anatomy and the embryology ol the eye, The Eye, 1, pp. 1-66, (1968)
  • [4] Mann I., The Development of the Human Eye, (1950)
  • [5] Daugman J.G., High confidence visual recognition of persons by a test of statistical independence, IEEE Transactions on Pattern Analysis and Machine Intelligence, 15, 11, pp. 1148-1161, (1993)
  • [6] Wiles R.P., Asmuth J.C., Green G.L., Hsu S.C., Kolczynski R.J., Matey J.R., Mcbride S.E., A system for automated iris recognition, Proceedings of the Second IEEE Workshop on Application of Computer Vision, pp. 121-128, (1994)
  • [7] Boles W.W., A security system based on human iris identification using wavelet transforms, Proceedings of the First Conference on Knowledge-Based Intelligent Electronic Systems, pp. 533-540, (1997)
  • [8] Zhu Y., Tan T.N., Wang Y.H., Biometrics personal identification based on iris pattern, Proceedings of the 15th International Conference on Pattern Recognition, 2, pp. 801-804, (2000)
  • [9] Ma L., Wang II Y., Tan T.N., Iris recognition using circular symmetric filters, Proceedings of the 16th International Conference on Pattern Recognition, 2, pp. 414-417, (2002)
  • [10] Lim S., Lee K., Byeon O., Kim T., Efficient iris recognition through improvement of feature vector and classifier, Journal of Electronics and Telecommunications Research Institute, 23, 2, pp. 61-70, (2001)
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