{"title":"使用Dempster-Shafer理论进行人脸和声音的融合，用于人的验证","authors":"L. Mezai, F. Hachouf, Messaoud Bengherabi","doi":"10.1109/WOSSPA.2011.5931424","DOIUrl":null,"url":null,"abstract":"In this paper, an algorithm for person verification is proposed. Dempster-Shafer Theory is used for face and voice fusion at the score level in order to overcome the limitations of unimodal biometric systems. Our experiments on the publicly available scores of the XM2VTS Benchmark database show a consistent improvement in performance compared to each individual modality. We have compared our approach with the sum rule and the likelihood ratio based fusion.","PeriodicalId":343415,"journal":{"name":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fusion of face and voice using the Dempster-Shafer Theory for person verification\",\"authors\":\"L. Mezai, F. Hachouf, Messaoud Bengherabi\",\"doi\":\"10.1109/WOSSPA.2011.5931424\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an algorithm for person verification is proposed. Dempster-Shafer Theory is used for face and voice fusion at the score level in order to overcome the limitations of unimodal biometric systems. Our experiments on the publicly available scores of the XM2VTS Benchmark database show a consistent improvement in performance compared to each individual modality. We have compared our approach with the sum rule and the likelihood ratio based fusion.\",\"PeriodicalId\":343415,\"journal\":{\"name\":\"International Workshop on Systems, Signal Processing and their Applications, WOSSPA\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Workshop on Systems, Signal Processing and their Applications, WOSSPA\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WOSSPA.2011.5931424\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOSSPA.2011.5931424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fusion of face and voice using the Dempster-Shafer Theory for person verification
In this paper, an algorithm for person verification is proposed. Dempster-Shafer Theory is used for face and voice fusion at the score level in order to overcome the limitations of unimodal biometric systems. Our experiments on the publicly available scores of the XM2VTS Benchmark database show a consistent improvement in performance compared to each individual modality. We have compared our approach with the sum rule and the likelihood ratio based fusion.
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