{"title":"Feature extraction for human identification based on envelogram signal analysis of cardiac sounds in time-frequency domain","authors":"Julian Jasper, K. Othman","doi":"10.1109/ICEIE.2010.5559770","DOIUrl":null,"url":null,"abstract":"Currently there are many security systems relying on tradition biometrics for the purpose of authorization of legal users into a system. However, traditional biometrics systems which commonly use behavioral biometrics have shown serious drawbacks, violating two of the main requirements of a reliable biometrics, namely permanence and circumvention. The paper explores the effectiveness of the features extracted from the envelogram of joint time-frequency domain of a generic heart sound signal to be used as biometric human identifiers. A powerful signal processing tool, The Wavelet Transform is used to analyze the signal in time-frequency domain and to extract suitable features by with the help of computational software, Matlab.","PeriodicalId":211301,"journal":{"name":"2010 International Conference on Electronics and Information Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Electronics and Information Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIE.2010.5559770","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30
Abstract
Currently there are many security systems relying on tradition biometrics for the purpose of authorization of legal users into a system. However, traditional biometrics systems which commonly use behavioral biometrics have shown serious drawbacks, violating two of the main requirements of a reliable biometrics, namely permanence and circumvention. The paper explores the effectiveness of the features extracted from the envelogram of joint time-frequency domain of a generic heart sound signal to be used as biometric human identifiers. A powerful signal processing tool, The Wavelet Transform is used to analyze the signal in time-frequency domain and to extract suitable features by with the help of computational software, Matlab.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
