{"title":"Fusion fingerprint minutiae matching system for personal identification","authors":"Pratixa I Mistry, C. Paunwala","doi":"10.1109/ICCCNT.2013.6726468","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCNT.2013.6726468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
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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