Iris Recognition Algorithm Using Modified Log-Gabor Filters

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 D...

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Bibliographic Details
Main Authors: Peng Yao, Jun Li, Xueyi Ye, Zhenquan Zhuang, Bin Li
Format: Conference Proceeding
Language:English
Subjects:
Band pass filters
Biometrics
Brightness
Data mining
Fingerprint recognition
Gabor filters
Hamming distance
Information filtering
Information filters
Iris recognition
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Summary: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
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2006.726