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Iris recognition based on non-separable wavelet
Huang J.1; You X.1; Tang Y.Y.2
2008-12-01
Source PublicationConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Pages1552-1557
AbstractThis paper focuses on the rotation noise of iris recognition. Current iris recognition systems are unable to deal with the rotation noise perfectly. We propose a novel method for iris matching that decompose iris picture into wavelet subband coefficients via 16 non-separable wavelet filters, and use generalized Gaussian density(GGD) modeling of each nonseparable orthogonal wavelet coefficients as a means of feature extraction, then compute the Kullback-Leibler distance (KLD) between GGDs and compare the iris code using the Kullback-Leibler distance. Experiments show that the proposed method is rotation invariance, it does not decrease their recognition rate, when the iris image is rotated. © 2008 IEEE.
KeywordDiscrete non-separable wavelet transform Generalized Gaussian density Iris recognition Kullback-Leibler distance
DOI10.1109/ICSMC.2008.4811507
URLView the original
Language英語
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Document TypeConference paper
专题University of Macau
Affiliation1.Huazhong University of Science and Technology
2.Hong Kong Baptist University
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GB/T 7714
Huang J.,You X.,Tang Y.Y.. Iris recognition based on non-separable wavelet[C],2008:1552-1557.
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