Journal of Innovative Optical Health Sciences, Volume. 3, Issue 2, 131(2010)

WAVELET-BASED PALM VEIN RECOGNITION SYSTEM

QIANG LI... YAN’AN ZENG* and KUNTAO YANG |Show fewer author(s)
Author Affiliations
  • College of Optoelectronic Science and Engineering Huazhong University of Science and Technology Wuhan, 430074, P. R. China
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    A new personal recognition system using the palm vein pattern is presented in this article. It is the first time that the palm vein pattern is used for personal recognition. The texture feature of palm vein is extracted by wavelet decomposition. With our palm vein image database, we employed the nearest neighbor (NN) classifier to test the performance of the system. Experimental results show that the algorithm based on wavelet transform can reach a correct recognition rate (CRR) of 98.8%.

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    QIANG LI, YAN’AN ZENG, KUNTAO YANG. WAVELET-BASED PALM VEIN RECOGNITION SYSTEM[J]. Journal of Innovative Optical Health Sciences, 2010, 3(2): 131

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    Paper Information

    Received: --

    Accepted: --

    Published Online: Jan. 10, 2019

    The Author Email: ZENG YAN’AN (zya401@126.com)

    DOI:10.1142/s1793545810000940

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