J. Liu-Jimenez, R. Sánchez-Reillo, C. Sánchez-Ávila
{"title":"Full hardware solution for processing iris biometrics","authors":"J. Liu-Jimenez, R. Sánchez-Reillo, C. Sánchez-Ávila","doi":"10.1109/CCST.2005.1594849","DOIUrl":null,"url":null,"abstract":"As security is becoming one of the most important concerns in information society, the use of biometrics is increasing everyday. Iris recognition is a biometric technique that presents low error rates with simpler matching algorithms than other biometrics techniques. Unfortunately feature extraction methods with iris biometrics are computational cost consuming. When developing new identification tokens, computational cost and processing time should be reduced, to provide cheaper devices, which could allow a viable solution in a commercial system. The authors, in this paper develop a different hardware solution to be applied to a biometric token, which provides lower processing time and higher security than commercial systems","PeriodicalId":411051,"journal":{"name":"Proceedings 39th Annual 2005 International Carnahan Conference on Security Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 39th Annual 2005 International Carnahan Conference on Security Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCST.2005.1594849","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
As security is becoming one of the most important concerns in information society, the use of biometrics is increasing everyday. Iris recognition is a biometric technique that presents low error rates with simpler matching algorithms than other biometrics techniques. Unfortunately feature extraction methods with iris biometrics are computational cost consuming. When developing new identification tokens, computational cost and processing time should be reduced, to provide cheaper devices, which could allow a viable solution in a commercial system. The authors, in this paper develop a different hardware solution to be applied to a biometric token, which provides lower processing time and higher security than commercial systems