{"title":"生物特征模板匹配中的模糊比较方案","authors":"Weizhou Zhao","doi":"10.1109/WCSE.2009.406","DOIUrl":null,"url":null,"abstract":"The inherent variation of the same biometric makes it difficult to replace passwords directly with biometrics in a cryptographic scheme. Comparison of the true sets is a key step in biometric template matching or encryption. In FCS (short for fuzzy comparison scheme), an algorithm for biometric template matching is proposed based on fuzzy theory. The proposed method defines two fuzzy sets, measures the nearness between the two true sets, and selects an available threshold. Moreover, this method can be generalized into high dimension space and multi-set matching. Algorithm implementation and numerical example show that the fuzzy comparison scheme is effective and tolerant because of the threshold, which can make it more explicit for uncertainty.","PeriodicalId":331155,"journal":{"name":"2009 WRI World Congress on Software Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fuzzy Comparison Scheme in Biometric Template Matching\",\"authors\":\"Weizhou Zhao\",\"doi\":\"10.1109/WCSE.2009.406\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The inherent variation of the same biometric makes it difficult to replace passwords directly with biometrics in a cryptographic scheme. Comparison of the true sets is a key step in biometric template matching or encryption. In FCS (short for fuzzy comparison scheme), an algorithm for biometric template matching is proposed based on fuzzy theory. The proposed method defines two fuzzy sets, measures the nearness between the two true sets, and selects an available threshold. Moreover, this method can be generalized into high dimension space and multi-set matching. Algorithm implementation and numerical example show that the fuzzy comparison scheme is effective and tolerant because of the threshold, which can make it more explicit for uncertainty.\",\"PeriodicalId\":331155,\"journal\":{\"name\":\"2009 WRI World Congress on Software Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 WRI World Congress on Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSE.2009.406\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 WRI World Congress on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSE.2009.406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy Comparison Scheme in Biometric Template Matching
The inherent variation of the same biometric makes it difficult to replace passwords directly with biometrics in a cryptographic scheme. Comparison of the true sets is a key step in biometric template matching or encryption. In FCS (short for fuzzy comparison scheme), an algorithm for biometric template matching is proposed based on fuzzy theory. The proposed method defines two fuzzy sets, measures the nearness between the two true sets, and selects an available threshold. Moreover, this method can be generalized into high dimension space and multi-set matching. Algorithm implementation and numerical example show that the fuzzy comparison scheme is effective and tolerant because of the threshold, which can make it more explicit for uncertainty.