{"title":"基于时频域心音包络信号分析的人体识别特征提取","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":"{\"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}","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}
Feature extraction for human identification based on envelogram signal analysis of cardiac sounds in time-frequency domain
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.