{"title":"Wavelet-SVD based Zero-Bit Watermarking for Securing Biometric Images","authors":"Ankita Dwivedi, Abhilasha Singh, M. Dutta","doi":"10.1109/ISCON47742.2019.9036228","DOIUrl":null,"url":null,"abstract":"The Biometric incorporates pictures, for example, iris filters, fingerprints, palm prints which have fine highlights of uniqueness for every person. Since, these pictures are functional in numerous applications, for example, get to control, military, CBI examination, ID, and so forth, its security is a significant concern. A methodology of verifying biometric pictures can be Digital Watermarking. Customary watermarking can mutilate the picture that causes data loss. Indeed, a little contortion can leave biometric of an individual unrecognizable. So here is an urgent requirement for a watermarking plan that doesn't misshape the original picture by any means. This paper presents a watermarking of zero bit strategy in which one of a kind distinguishing proof codes are produced from biometric pictures by applying Discrete Wavelet Transform (DWT) trailed by Singular Value Decomposition (SVD). Exploratory outcomes delineate that exceptional highlights separated are profoundly steady even by various picture preparing attacks and henceforth declare its value for classified biometric pictures.","PeriodicalId":124412,"journal":{"name":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCON47742.2019.9036228","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The Biometric incorporates pictures, for example, iris filters, fingerprints, palm prints which have fine highlights of uniqueness for every person. Since, these pictures are functional in numerous applications, for example, get to control, military, CBI examination, ID, and so forth, its security is a significant concern. A methodology of verifying biometric pictures can be Digital Watermarking. Customary watermarking can mutilate the picture that causes data loss. Indeed, a little contortion can leave biometric of an individual unrecognizable. So here is an urgent requirement for a watermarking plan that doesn't misshape the original picture by any means. This paper presents a watermarking of zero bit strategy in which one of a kind distinguishing proof codes are produced from biometric pictures by applying Discrete Wavelet Transform (DWT) trailed by Singular Value Decomposition (SVD). Exploratory outcomes delineate that exceptional highlights separated are profoundly steady even by various picture preparing attacks and henceforth declare its value for classified biometric pictures.