{"title":"Biometric watermark authentication with multiple verification rule","authors":"T. Satonaka","doi":"10.1109/NNSP.2002.1030071","DOIUrl":null,"url":null,"abstract":"The paper describes a biometric watermarking procedure for accurate facial signature authentication. The multiple decision rules of watermark and facial signatures are formulated to map a pattern in an overlapping region between classes to a separable disjoint one. The decision rule of the watermark signature, which is uniquely assigned to a face image, reduces uncertainty in assuming the missing patterns of unknown intruder classes. The present algorithm incorporating multiple signatures improves a recognition error rate from 2.29% to 0.07%. The watermarking approach has attained robustness to various attacks and transformation by focusing on salient facial features.","PeriodicalId":117945,"journal":{"name":"Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NNSP.2002.1030071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27
Abstract
The paper describes a biometric watermarking procedure for accurate facial signature authentication. The multiple decision rules of watermark and facial signatures are formulated to map a pattern in an overlapping region between classes to a separable disjoint one. The decision rule of the watermark signature, which is uniquely assigned to a face image, reduces uncertainty in assuming the missing patterns of unknown intruder classes. The present algorithm incorporating multiple signatures improves a recognition error rate from 2.29% to 0.07%. The watermarking approach has attained robustness to various attacks and transformation by focusing on salient facial features.