{"title":"An Improved Fingerprint Matching Algorithm Using Low Discriminative Region","authors":"Nghia Duong, Minh Nguyen, Hieu Quang, Hoang Manh Cuong","doi":"10.1145/3287921.3287986","DOIUrl":null,"url":null,"abstract":"In our previous work, we introduced a hybrid fingerprint matcher which consists of two stages: local minutiae matching stage and consolidation stage. To improve the accuracy of the former stage, in this paper we suggest characterizing each minutia by an additional feature representing the ability to distinguish it from other minutiae in the fingerprint. By utilizing the discriminability of each minutia in the calculation of the local similarity score between two minutiae, the performance of the local matching stage is improved significantly. Thereby, an increase in the accuracy of the whole matching algorithm of 0.33% in EER and 0.51% in FMR1000 over thepreviousworknow makesour matcherrank2nd in FVC2002-DB2A leaderboard.","PeriodicalId":448008,"journal":{"name":"Proceedings of the 9th International Symposium on Information and Communication Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th International Symposium on Information and Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3287921.3287986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In our previous work, we introduced a hybrid fingerprint matcher which consists of two stages: local minutiae matching stage and consolidation stage. To improve the accuracy of the former stage, in this paper we suggest characterizing each minutia by an additional feature representing the ability to distinguish it from other minutiae in the fingerprint. By utilizing the discriminability of each minutia in the calculation of the local similarity score between two minutiae, the performance of the local matching stage is improved significantly. Thereby, an increase in the accuracy of the whole matching algorithm of 0.33% in EER and 0.51% in FMR1000 over thepreviousworknow makesour matcherrank2nd in FVC2002-DB2A leaderboard.
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