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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2005, Vol. 6 Issue ( 5): 12-    DOI: 10.1631/jzus.2005.A0428
    
An iris recognition method based on multi-orientation features and Non-symmetrical SVM
GU Hong-ying, ZHUANG Yue-ting, PAN Yun-he
Institute of Artificial Intelligence, Zhejiang University, Hangzhou 310027, China
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Abstract  A new iris feature extraction approach using both spatial and frequency domain is presented. Steerable pyramid is adopted to get the orientation information on iris images. The feature sequence is extracted on each sub-image and used to train Support Vect

Key words： Artificial Intelligence Iris recognition      Steerable pyramid      Variation fractal dimension      Non-symmetrical Support Vector Machine (NSVM)     
Received: 17 November 2004     
CLC:  TP391.4  
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GU Hong-ying
ZHUANG Yue-ting
PAN Yun-he
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GU Hong-ying, ZHUANG Yue-ting, PAN Yun-he. An iris recognition method based on multi-orientation features and Non-symmetrical SVM. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6( 5): 12-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2005.A0428     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2005/V6/I 5/12

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