Zhigang Yao, B. Vibert, C. Charrier, Christophe Rosenberger
{"title":"Blind minutiae selection for standard minutiae templates","authors":"Zhigang Yao, B. Vibert, C. Charrier, Christophe Rosenberger","doi":"10.1109/ISBA.2015.7126367","DOIUrl":null,"url":null,"abstract":"The embedded applications of fingerprint proposed so far are chiefly based on the minutiae template. This kind of system is not resource-free and minutiae template is generally sacrificed to cover the shortage. This paper presents several simple yet efficient no-image minutiae selection approaches (NIMS) for the standard minutiae templates (ISO/IEC 19794-2). With the reduced-templates obtained by using the proposed methods, the overall performance can be guaranteed in comparing with the results generated by the original templates. The interoperability tests are performed with several FVC databases. An additional analysis with the quality of the enrollment samples is also carried out. The experimental results demonstrate the validity and efficiency of the proposed approaches.","PeriodicalId":398910,"journal":{"name":"IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2015)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2015)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISBA.2015.7126367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The embedded applications of fingerprint proposed so far are chiefly based on the minutiae template. This kind of system is not resource-free and minutiae template is generally sacrificed to cover the shortage. This paper presents several simple yet efficient no-image minutiae selection approaches (NIMS) for the standard minutiae templates (ISO/IEC 19794-2). With the reduced-templates obtained by using the proposed methods, the overall performance can be guaranteed in comparing with the results generated by the original templates. The interoperability tests are performed with several FVC databases. An additional analysis with the quality of the enrollment samples is also carried out. The experimental results demonstrate the validity and efficiency of the proposed approaches.
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