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, Xiangqian
Wang, Kuanquan
Zhang, David D.
Subjects: 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.
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.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1184
ISBN: 0780390911
Appears in Collections:COMP Conference Papers & Presentations

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