{"title":"Methods of automatic alignment of fingerprint in fuzzy vault: A review","authors":"Parul Sood, Manvjeet Kaur","doi":"10.1109/RAECS.2014.6799559","DOIUrl":null,"url":null,"abstract":"Security of cryptographic keys is an important issue in today's unprotected world. Most reliable solution of this problem is state of art fuzzy vault which is an application of bio-cryptosystems. These systems use biometric trait for locking and unlocking the keys. During unlocking, it is necessary to do alignment of query biometric data with enrolled biometric data because of large variation in two samples of a biometric trait of a user taken over the short span of time. Complexity of alignment is increased due to absence of original fingerprint template during alignment. That's why helper data or additional information is required for alignment. There are number of techniques developed for automatic alignment of fingerprints till now. This paper gives the review of most of those methods.","PeriodicalId":229600,"journal":{"name":"2014 Recent Advances in Engineering and Computational Sciences (RAECS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Recent Advances in Engineering and Computational Sciences (RAECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAECS.2014.6799559","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Security of cryptographic keys is an important issue in today's unprotected world. Most reliable solution of this problem is state of art fuzzy vault which is an application of bio-cryptosystems. These systems use biometric trait for locking and unlocking the keys. During unlocking, it is necessary to do alignment of query biometric data with enrolled biometric data because of large variation in two samples of a biometric trait of a user taken over the short span of time. Complexity of alignment is increased due to absence of original fingerprint template during alignment. That's why helper data or additional information is required for alignment. There are number of techniques developed for automatic alignment of fingerprints till now. This paper gives the review of most of those methods.