Finger Vein Recognition with Gabor Wavelets and Local Binary Patterns

被引：27

作者：

Peng, Jialiang ^{[1
,2
]}

Li, Qiong ^{[1
]}

Abd El-Latif, Ahmed A. ^{[1
,3
]}

Wang, Ning ^{[1
]}

Niu, Xiamu ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150006, Peoples R China

[2] Heilongjiang Univ, Informat & Network Adm Ctr, Harbin 150080, Peoples R China

[3] Menoufia Univ, Dept Math, Fac Sci, Shibin Al Kawm 32511, Egypt

来源：

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2013年 / E96D卷 / 08期

基金：

中国国家自然科学基金;

关键词：

finger vein recognition; Gabor wavelet; local binary pattern; BLDA; EXTRACTION;

D O I：

10.1587/transinf.E96.D.1886

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a new finger vein recognition-method based on Gabor wavelet and Local Binary Pattern (GLBP) is proposed. In the new scheme, Gabor wavelet magnitude and Local Binary Pattern operator are combined, so the new feature vector has excellent stability. We introduce Block-based Linear Discriminant Analysis (BLDA) to reduce the dimensionality of the GLBP feature vector and enhance its discriminability at the same time. The results of an experiment show that the proposed approach has excellent performance compared to other competitive approaches in current literatures.

引用

页码：1886 / 1889

页数：4

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