E. B. Lydia, C. Duraipandi, Anju Pratap, Uthariaraj V. Rhymend
{"title":"A grid based iris biometric watermarking using wavelet transform","authors":"E. B. Lydia, C. Duraipandi, Anju Pratap, Uthariaraj V. Rhymend","doi":"10.1109/ICRTIT.2014.6996169","DOIUrl":null,"url":null,"abstract":"Watermarking is the most smart and appropriate technique for copyright protection and security of multimedia data. Watermarking has been recommended for the civilizing security of biometric systems. Conversely Iris recognition is regard as the most trustworthy and exact biometric identification system accessible. This paper extracted iris feature using a novel grid based approach a Canny Edge Detection (CED) algorithm. The grid based watermarking algorithm uses a hybrid Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT) and method. This method provides a scalable, secure, strong and undetectable form of watermarking. This proposed scheme minimizing fault acceptance rate and the fault error rate in very efficient manner.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Recent Trends in Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRTIT.2014.6996169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Watermarking is the most smart and appropriate technique for copyright protection and security of multimedia data. Watermarking has been recommended for the civilizing security of biometric systems. Conversely Iris recognition is regard as the most trustworthy and exact biometric identification system accessible. This paper extracted iris feature using a novel grid based approach a Canny Edge Detection (CED) algorithm. The grid based watermarking algorithm uses a hybrid Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT) and method. This method provides a scalable, secure, strong and undetectable form of watermarking. This proposed scheme minimizing fault acceptance rate and the fault error rate in very efficient manner.
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