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| Iris Feature Extraction Algorithm Using Vertically Expanded Blanket Dimension and Lacunarity |
| LIU Kai, ZHOU Wei-Dong, WANG Yu |
| School of Information Science and Engineering, Shandong University, Jinan 250100 |
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Abstract Iris feature extraction is important in iris recognition. An iris feature extraction algorithm is proposed by using combination of blanket dimension and lacunarity. Because Human iris texture is characterized by fractal geometry due to its rich self-similarity and abundant variation, vertically expanded blanket dimension is employed to represent iris texture variation and radial pattern at different resolution levels. Lacunarity is introduced to extract iris features that have different texture and fractal patterns but have same fractal dimension value. The combination of blanket dimension and lacunarity in iris feature extraction can embody the minute change of texture information comprehensively, and improve the capacity of iris classification. The experimental results on the CASIA-IrisV3-Interval iris database show that the combination of blanket dimension and lacunarity can extract iris textural features accurately and effectively, and high performance for iris recognition is achieved by using those features.
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Received: 18 November 2010
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[1] Barzegar N, Moin M S. A New Approach for Iris Localization in Iris Recognition Systems // Proc of the 6th ACS/IEEE International Conference on Computer Systems and Applications. Doha, Qatar, 2008: 516-523
[2] He Zhaofeng, Tan Tieniu, Sun Zhenan, et al. Toward Accurate and Fast Iris Segmentation for Iris Biometrics. IEEE Trans on Pattern Analysis and Matching Intelligence, 2009, 31(9): 1670-1684
[3] Daugman J G. High Confidence Visual Recognition of Persons by a Test of Statistical Independence. IEEE Trans on Pattern Analysis and Machine Intelligence, 1993, 15(11): 1145-1161
[4] Wiles R P, Asmuth J C, Green L, et al. A System for Automated Iris Recognition // Proc of the 2nd IEEE Workshop on Application of Computer Vision. Florida, USA, 1994: 121-128
[5] Boles W W. A Security System Based on Human Iris Identification Using Wavelet Transform // Proc of the 1st Conference on Knowledge-Based Intelligent Electronic Systems. Adelaide, Australia, 1997: 533-540
[6] Wang Yunhong, Zhu Yong, Tan Tieniu. Biometrics Personal Identification Based on Iris Pattern. Acta Automatica Sinica, 2002, 28(1): 1-10 ( in Chinese)
(王蕴红,朱 勇,谭铁牛.基于虹膜识别的身份鉴别.自动化学报, 2002, 28(1): 1-10)
[7] Chaudhuri B B, Nirupam S. Texture Segmentation Using Fractal Dimensions. IEEE Trans on Pattern Analysis and Machine Intelligent, 1995, 17(1): 72-77
[8] Falconer K. Fractal Geometry: Mathematical Foundation and Applications. London, UK: John Wiley Son, 1990
[9] Mardelbrot B B. The Fractal Geometry of Nature. New York, USA: Springer-Verlag, 1992
[10] Peik S L, Hong T E, Hong T E, et al. Individual Recognition Based on Human Iris Using Fractal Dimensions Approach // Proc of the 1st International Conference on Biometric Authentication. Hong Kong, China, 2004: 467-474
[11] Shirazi A A B, Nasseri L. A Novel Algorithm to Classify Iris Image Based on Differential of Fractal Dimension by Using Neural Network // Proc of the International Conference on Advanced Computer Theory and Engineering. Phuket, Thailand, 2008: 181-185
[12] Gu Hongying, Pan Hong, Wu Fei, et al. The Research of Iris Recognition Method Based on Self-Similarity. Computer Aided Design and Computer Graphics, 2004, 16(7): 973-977 (in Chinese)
(古红英,潘 红,吴 飞,等.虹膜自相似性识别方法研究.计算机辅助设计与图形学学报, 2004, 16(7): 973-977)
[13] Wang Changyu, Song Shangling. An Iris Recognition Based on Fractal Dimension. Acta Automatica Sinica, 2007, 33(7): 698-702 ( in Chinese)
(王长宇,宋尚玲.一种基于分数维的虹膜识别方法.自动化学报, 2007, 33(7): 698-702)
[14] Murty C P S R, Reddy E S, Babu I R. Iris Recognition System Using Fractal Dimensions of Haar Patterns. International Journal of Signal Processing, Image Processing and Pattern Recognition, 2009, 2(3): 75-84
[15] Peleg S, Naor J, Hartley R. Multiple Resolution Texture Analysis and Classification. IEEE Trans on Pattern Analysis and Machine Intelligence, 1984, 6(4): 518-523
[16] Lin B, Yang Z. A Suggested Lacunarity Expression for Sierpinski Carpets. Journal of Physics A: Mathematical and General, 1986, 19(2): 49-52
[17] Gefen Y, Meir Y, Mandelbrot B B, et al. Geometric Implementation of Hypercubic Lattices with Noninteger Dimensionality by Use of Low Lacunarity Fractal Lattices. Physical Review Letters, 1983, 50(3): 145-148
[18] Allain C, Cloitre M. Characterizing the Lacunarity of Random and Deterministic Fractal Set. Physical Review A, 1991, 44(6): 3552-3558
[19] Yuan Weiqi, Xu Lu, Lin Zhonghua. An Accurate and Fast Iris Location Method Based on the Features of Human Eyes // Proc of the 2nd International Conference on Fuzzy Systems and Knowledge Discovery. Changsha, China, 2005: 306-315 |
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2011, Vol. 24 
