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Iris recognition using Gabor filters optimized by the particle swarm algorithm

[+] Author Affiliations
Chung-Chih Tsai

National Chung Hsing University, Department of Electrical Engineering, Taiwan

Jin-Shiuh Taur

National Chung Hsing University, Department of Electrical Engineering, Taiwan

Chin-Wang Tao

National I-Lan University, Department of Electrical Engineering, Taiwan

J. Electron. Imaging. 18(2), 023009 (May 15, 2009). doi:10.1117/1.3134128
History: Received November 24, 2008; Revised February 18, 2009; Accepted April 03, 2009; Published May 15, 2009; June 11, 2009
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An efficient feature extraction algorithm based on optimized Gabor filters and a relative variation analysis approach is proposed for iris recognition. The Gabor filters are optimized by using the particle swarm algorithm to adjust the parameters. Moreover, a sequential scheme is developed to determine the number of filters in the optimal Gabor filter bank. In the preprocessing step, the lower part of the iris image is unwrapped and normalized to a rectangular block that is then decomposed by the optimal Gabor filters. After that, a simple encoding method is adopted to generate a compact iris code. Experimental results show that with a smaller iris code size, the proposed method can produce comparable performance to that of the existing iris recognition systems.

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Citation

Chung-Chih Tsai ; Jin-Shiuh Taur and Chin-Wang Tao
"Iris recognition using Gabor filters optimized by the particle swarm algorithm", J. Electron. Imaging. 18(2), 023009 (May 15, 2009). ; http://dx.doi.org/10.1117/1.3134128


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