WAVELET-BASED PALM VEIN RECOGNITION SYSTEM

被引：2

作者：

Li, Qiang ^{[1
]}

Zeng, Yan'an ^{[1
]}

Yang, Kuntao ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Coll Optoelect Sci & Engn, Wuhan 430074, Peoples R China

来源：

JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES | 2010年 / 3卷 / 02期

关键词：

Biometrics; wavelet transform; vein pattern;

D O I：

10.1142/S1793545810000940

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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%.

引用

页码：131 / 134

页数：4

共 9 条

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