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18th International Conference on Pattern Recognition (ICPR'06) Volume 4
Iris Recognition Algorithm Using Modified Log-Gabor Filters
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Peng Yao, University of Scientist & Technology of China
Jun Li, Nanyang Technological University, Singapore
Xueyi Ye, University of Scientist & Technology of China
Zhenquan Zhuang, University of Scientist & Technology of China
Bin Li, University of Scientist & Technology of China
In this paper, we presented an iris recognition algorithm based on modified Log-Gabor filters. The algorithm is similar as the method proposed by Daugman in general procedure while modified Log-Gabor filters are adopted to extract the iris phase information instead of complex Gabor filters used in Daugman?s method. The advantage of Log- Gabor filters over complex Gabor filters is the former are strictly bandpass filters and the latter are not. The property of strictly bandpass makes the Log-Gabor filters more suitable to extract the iris phase features regardless of the background brightness. The comparison experiments between complex Gabor filters based methods and the proposed method are also presented in this paper.
Citation:
Peng Yao, Jun Li, Xueyi Ye, Zhenquan Zhuang, Bin Li, "Iris Recognition Algorithm Using Modified Log-Gabor Filters," icpr, vol. 4, pp.461-464, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006
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