Analysis of Local Binary Patterns and Uniform Local Binary Patterns for Palm Vein Biometric Recognition

被引：0

作者：

Aglio-Caballero, Alicia ^{[1
]}

Rios-Sanchez, Belen ^{[2
]}

Sanchez-Avila, Carmen ^{[2
]}

Melcon de Giles, Maria Jose ^{[1
]}

机构：

[1] Univ Politecn Madrid, Campus Montegancedo, Madrid 28223, Spain

[2] Univ Politecn Madrid, Res Ctr Smart Bldg & Energy Efficiency CeDInt, Grp Biometr Biosignals & Secur, Campus Montegancedo, Madrid 28223, Spain

来源：

2017 INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY (ICCST) | 2017年

关键词：

Biometrics; LBP; LBPU; Palm Veins; Pattern Recognition; Texture Analysis; CLASSIFICATION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Palm vein recognition has emerged as a novelty highly invariant biometric technique that is difficult to forge due to their internal nature. In this work the texture descriptors Local Binary Patterns (LBP) and Uniform Local Binary Patterns (LBPU) are analyzed as feature extraction methods for biometric verification based on palm veins. Their performance and efficiency has been studied through a multivariate analysis including the impact of different wavelengths and the parameters of the texture descriptor number of neighboors and radio. CASIA Multi-Spectral Palmprint Image Database V1.0 has been used for the evaluation of the system.

引用

页数：6

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