用于识别生物特征图像的唯一数字代码生成的无损模型

Mohan Mishra, A. Bhattacharya, Anushikha Singh, M. Dutta
{"title":"用于识别生物特征图像的唯一数字代码生成的无损模型","authors":"Mohan Mishra, A. Bhattacharya, Anushikha Singh, M. Dutta","doi":"10.1109/CIACT.2018.8480297","DOIUrl":null,"url":null,"abstract":"Security of biometric data is a common problem in this modern era during transmission and storage of biometric data. This paper proposes zero-watermarking scheme that resolves the problem of biometric data security without tempering the biometric data. The biometric pattern of iris is employed to create digital binary code for iris images. This created binary pattern is combined with watermark which is identity of associated person to create a unique ID. This unique ID is completely uninformative which does not reveal the biometric information as well as person’s identity. At the receiver end, person ID can be recovered by the certmed personnel only on permission of the created unique ID. Experiments are done on the openly accessible CASIA dataset available on iris images and achieved results which are motivating in the path of biometric image identification and certmcation. The proposed work is a novel method which can be used in biometric security applications and can be very helpful to detect identity fraud.","PeriodicalId":358555,"journal":{"name":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Lossless Model for Generation of Unique Digital Code for Identification of Biometric Images\",\"authors\":\"Mohan Mishra, A. Bhattacharya, Anushikha Singh, M. Dutta\",\"doi\":\"10.1109/CIACT.2018.8480297\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Security of biometric data is a common problem in this modern era during transmission and storage of biometric data. This paper proposes zero-watermarking scheme that resolves the problem of biometric data security without tempering the biometric data. The biometric pattern of iris is employed to create digital binary code for iris images. This created binary pattern is combined with watermark which is identity of associated person to create a unique ID. This unique ID is completely uninformative which does not reveal the biometric information as well as person’s identity. At the receiver end, person ID can be recovered by the certmed personnel only on permission of the created unique ID. Experiments are done on the openly accessible CASIA dataset available on iris images and achieved results which are motivating in the path of biometric image identification and certmcation. The proposed work is a novel method which can be used in biometric security applications and can be very helpful to detect identity fraud.\",\"PeriodicalId\":358555,\"journal\":{\"name\":\"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)\",\"volume\":\"128 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIACT.2018.8480297\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIACT.2018.8480297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

生物特征数据的安全是当今时代生物特征数据传输和存储过程中普遍存在的问题。本文提出了零水印方案,在不篡改生物特征数据的情况下解决了生物特征数据的安全问题。利用虹膜的生物特征模式对虹膜图像进行数字二进制编码。该创建的二进制模式与水印(关联人员的身份)相结合,以创建唯一的ID。这种唯一的ID是完全没有信息的,它既没有揭示生物特征信息,也没有揭示人的身份。在接收端,通过认证的人员只有在创建的唯一ID的权限下才能恢复人员ID。在开放的CASIA虹膜图像数据集上进行了实验,取得了对生物特征图像识别和认证具有激励作用的结果。该方法可用于生物识别安全应用,对识别身份欺诈有很大帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Lossless Model for Generation of Unique Digital Code for Identification of Biometric Images
Security of biometric data is a common problem in this modern era during transmission and storage of biometric data. This paper proposes zero-watermarking scheme that resolves the problem of biometric data security without tempering the biometric data. The biometric pattern of iris is employed to create digital binary code for iris images. This created binary pattern is combined with watermark which is identity of associated person to create a unique ID. This unique ID is completely uninformative which does not reveal the biometric information as well as person’s identity. At the receiver end, person ID can be recovered by the certmed personnel only on permission of the created unique ID. Experiments are done on the openly accessible CASIA dataset available on iris images and achieved results which are motivating in the path of biometric image identification and certmcation. The proposed work is a novel method which can be used in biometric security applications and can be very helpful to detect identity fraud.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信