• Journal of Innovative Optical Health Sciences
  • Vol. 3, Issue 2, 131 (2010)
QIANG LI, YAN’AN ZENG*, and KUNTAO YANG
Author Affiliations
  • College of Optoelectronic Science and Engineering Huazhong University of Science and Technology Wuhan, 430074, P. R. China
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    DOI: 10.1142/s1793545810000940 Cite this Article
    QIANG LI, YAN’AN ZENG, KUNTAO YANG. WAVELET-BASED PALM VEIN RECOGNITION SYSTEM[J]. Journal of Innovative Optical Health Sciences, 2010, 3(2): 131 Copy Citation Text show less

    Abstract

    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%.
    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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