{"title":"保护私隐的生物识别保安方案","authors":"Jong Gook Ko, Kiyoung Moon","doi":"10.1109/ASEA.2008.53","DOIUrl":null,"url":null,"abstract":"Recently much attention is paid to privacy issue in biometrics. In this paper, biometrics security technique using wavelet based watermarking is proposed. We present two kinds of methods that increase privacy protection level. First method is to embed ID watermark data to biometric image like fingerprint, face for backtracking when image missing. Second, as multi bio watermarking, fingerprint feature data are embedded to face image for hiding private biometric information. The proposed method for bio watermarking is based on the wavelet transform and minimizes recognition performance loss owing to watermark data embedding.","PeriodicalId":223823,"journal":{"name":"2008 Advanced Software Engineering and Its Applications","volume":"27 15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Biometrics Security Scheme for Privacy Protection\",\"authors\":\"Jong Gook Ko, Kiyoung Moon\",\"doi\":\"10.1109/ASEA.2008.53\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently much attention is paid to privacy issue in biometrics. In this paper, biometrics security technique using wavelet based watermarking is proposed. We present two kinds of methods that increase privacy protection level. First method is to embed ID watermark data to biometric image like fingerprint, face for backtracking when image missing. Second, as multi bio watermarking, fingerprint feature data are embedded to face image for hiding private biometric information. The proposed method for bio watermarking is based on the wavelet transform and minimizes recognition performance loss owing to watermark data embedding.\",\"PeriodicalId\":223823,\"journal\":{\"name\":\"2008 Advanced Software Engineering and Its Applications\",\"volume\":\"27 15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Advanced Software Engineering and Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASEA.2008.53\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Advanced Software Engineering and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASEA.2008.53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recently much attention is paid to privacy issue in biometrics. In this paper, biometrics security technique using wavelet based watermarking is proposed. We present two kinds of methods that increase privacy protection level. First method is to embed ID watermark data to biometric image like fingerprint, face for backtracking when image missing. Second, as multi bio watermarking, fingerprint feature data are embedded to face image for hiding private biometric information. The proposed method for bio watermarking is based on the wavelet transform and minimizes recognition performance loss owing to watermark data embedding.