N. Dey, B. Nandi, M. Dey, D. Biswas, A. Das, S. S. Chaudhuri
{"title":"BioHash code generation from electrocardiogram features","authors":"N. Dey, B. Nandi, M. Dey, D. Biswas, A. Das, S. S. Chaudhuri","doi":"10.1109/IADCC.2013.6514317","DOIUrl":null,"url":null,"abstract":"Biometric Authentication System used for verifying identity of a person is getting highly popularized. In today's world when online communication and transactions are a widespread reality, verification of user's identity has become all the more challenging. Biometric Authentication provides a secured and robust system for verification purpose. This paper proposes a cancelable biometric approach called BioHashing. The method uses ECG features and Tokenized Random Number to generate an inner product. The obtained products which are above a previously defined threshold are coded as 1, and the rest 0, thus generating the BioHash Code.","PeriodicalId":325901,"journal":{"name":"2013 3rd IEEE International Advance Computing Conference (IACC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 3rd IEEE International Advance Computing Conference (IACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IADCC.2013.6514317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
Biometric Authentication System used for verifying identity of a person is getting highly popularized. In today's world when online communication and transactions are a widespread reality, verification of user's identity has become all the more challenging. Biometric Authentication provides a secured and robust system for verification purpose. This paper proposes a cancelable biometric approach called BioHashing. The method uses ECG features and Tokenized Random Number to generate an inner product. The obtained products which are above a previously defined threshold are coded as 1, and the rest 0, thus generating the BioHash Code.