Fusion Fingerprint Minutiae Matching System for Personal Identification

被引：0
|
作者：
Mistry, Pratixa I. [1 ]
Paunwala, Chirag N. [1 ]
机构：
[1] Sarvajanik Coll Engn & Technol, Elect & Commun Dept, Surat, India
来源：
2013 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND NETWORKING TECHNOLOGIES (ICCCNT) | 2013年
关键词：
Biometric; Fingerprint Matching; Delaunay triangle's; Local Binary Pattern;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Fingerprint is most popular biometric because it can easily used and its features are highly reliable. Many fingerprint matching algorithm have been reported in literatures and in all most algorithms minutiae matching is used. In this paper modified fusion algorithm is proposed. It uses one technique of structure with Delaunay triangle's based, formed by minutiae, and for matched candidate triangle local ridge texture information is extracted using Local Binary Pattern (LBP). Here triangle matching score is given a full weightage and minutiae matching score is given weightage as per requirement. The experimental results show that proposed algorithm is effective and reliable. Algorithm is tested on a DB1 Database of FVC 2004 competition.
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页数：6
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