A TSVM-based minutiae matching approach for fingerprint verification

被引：0
|
作者：
Jia, J [1 ]
Cai, LH [1 ]
机构：
[1] Tsinghua Univ, Key Lab Pervas Comp, Minist Educ, Beijing 100084, Peoples R China
来源：
ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS | 2005年 / 3781卷
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：
This paper introduces Transductive Support Vector Machine (TSVM) into fingerprint verification. An improved fingerprint matching approach using TSVM is presented. In the proposed approach, the traditional minutiae-based fingerprint matching task is transformed to a classification task using TSVM. The paper presents an analysis of why TSVM are well suited for fingerprint matching, especially for small training sets. The approach is supported by experiments on five test collections, including both international and domestic fingerprint verification competition databases. Experimental results show that our approach is insensitive to noise as well as with effective performance.
引用
收藏
页码：85 / 94
页数：10
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