Fusion of palmprint and iris for personal authentication

被引：0

作者：

Wu, Xiangqian ^{[1
]}

Zhang, David ^{[2
]}

Wang, Kuanquan ^{[1
]}

Qi, Ning ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150001, Peoples R China

[2] Hong Kong Polytech Univ, Biomet Res Ctr, Dept Comp, Kowloon, Peoples R China

来源：

ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS | 2007年 / 4632卷

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Traditional personal authentication methods have many instinctive defects. Biometrics is an effective technology to overcome these defects. The unimodal biometric systems, which use a single trait for authentication, can result in some problems like noisy sensor data, nonuniversality and/or lack of distinctiveness of the biometric trait, unacceptable error rates, and spoof attacks. These problems can be addressed by using multi-biometric features in the system. This paper investigates the fusion of palmprint and iris for personal authentication. The features of the palmprint and the iris are first extracted and matched respectively. Then these matching distances are normalized. Finally, the normalized distances are fused to authenticate the identity. The experimental results show that combining palmprint and iris can dramatically improve the accuracy of the system.

引用

页码：466 / +

页数：3

共 50 条

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