Iris Recognition Algorithm Using Modified Log-Gabor Filters

Authors:
Peng Yao;Jun Li;Xueyi Ye;Zhenquan Zhuang;Bin Li
Affiliations:
University of Scientist & Technology of China;Nanyang Technological University, Singapore;University of Scientist & Technology of China;University of Scientist & Technology of China;University of Scientist & Technology of China
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Year:
2006

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Abstract

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.