Journal of Innovative Optical Health Sciences, 2010, 3 (2): 131–134, Published Online: Jan. 10, 2019  

WAVELET-BASED PALM VEIN RECOGNITION SYSTEM

Author Affiliations
College of Optoelectronic Science and Engineering Huazhong University of Science and Technology Wuhan, 430074, P. R. China
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): 131–134.

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