Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1184
Title: Palmprint recognition using valley features
Authors: Wu, X
Wang, K
Zhang, DD 
Keywords: Biometrics
Palmprint recognition
Valley feature
Morphological operator
Issue Date: 2005
Publisher: IEEE
Source: Proceedings of the 2005 International Conference on Machine Learning and Cybernetics : August 18-21, 2005, Guangzhou, China, p. 4881-4885 How to cite?
Abstract: This paper presents a novel approach for palmprint recognition based on the valley features. This approach uses the bothat operation to extract the valleys from a very low-resolution palm image in different directions to form the valley feature, and then define a matching score to measure the similarity of the valley features. The experimental results shows that the proposed approach can effectively discriminate palmprints and can obtain about 98% accuracy in palmprint verification.
URI: http://hdl.handle.net/10397/1184
ISBN: 0-7803-9091-1
Rights: © 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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