A performance Evaluation of Shape and Texture based methods for Vein Recognition

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Author(s)
Wang, Zhongli
Zhang, Baochang
Chen, Weiping
Gao, Yongsheng
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Li, D

Deng, G

Date
2008
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285636 bytes

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Sanya, PEOPLES R CHINA

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Abstract

This paper gives fair comparisons of shape and texture based methods for vein recognition. The shape of the back of hand contains information that is capable of authenticating the identity of an individual. In this paper, two kinds of shape matching method are used, which are based on Hausdorff distance and Line Edge Mapping(LEM) methods. The vein image also contains valuable texture information, and Gabor wavelet is exploited to extract the discriminative feature. In order to evaluate the system performance, a dataset of 100 persons of different ages above 16 and of different gender, each has 5 images per person is used. Experimental results show that Hausdorff, LEM and Gabor based methods achieved 58%, 66%, 80% individually.

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CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 2, PROCEEDINGS

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2

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© 2008 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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Other engineering not elsewhere classified

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