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首页> 外文会议>2014 2nd International Conference on Emerging Technology Trends in Electronics, Communication and Networking >Discrete wavelet transform and compressive sensing based multibiometric watermarking — A novel approach to embed watermark into biometrie
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Discrete wavelet transform and compressive sensing based multibiometric watermarking — A novel approach to embed watermark into biometrie

机译：基于离散小波变换和压缩感知的多生物水印—一种将水印嵌入生物体的新方法

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摘要

Multibiometric system is used two or more than two characteristics of same individual for identification and authentication. This is improved security and authenticity of individual. The issued regarding multibiometric system is template protection against modification attack at system database and at communication channel between two modules of system. This paper proposed a novel multibiometric watermarking technique in wavelet domain using compressive sensing theory framework. The main idea of proposed technique is embed sparse measurements of watermark biometric image which is generated using details wavelet coefficients of watermark biometric image and random seed which is embedding into approximation wavelet coefficients of host biometric image of same individual. This proposed technique is generated multibiometric template which provides security against modification attack over communication channel and at system database because of secure biometric information is embed into another biometric of same individual. Compressive sensing theory framework is used to provide more computation security and dimensional reduction to watermark biometric image before embedding into host biometric image. This proposed watermarking technique has robust against all possible watermarking attacks.
机译：多生物学系统使用同一个人的两个或两个以上特征进行识别和认证。这提高了个人的安全性和真实性。关于多生物系统的发布是针对系统数据库和系统两个模块之间的通信通道的模板修改免受模板攻击的保护。本文利用压缩感知理论框架提出了一种新的小波域多生物水印技术。提出的技术的主要思想是嵌入水印生物特征图像的稀疏测量，该稀疏测量是使用水印生物特征图像的细节小波系数和随机种子生成的，将其嵌入到同一个人宿主生物特征图像的近似小波系数中。这项提议的技术是生成的多生物特征模板，由于安全的生物特征信息被嵌入到同一个人的另一个生物特征中，该模板提供了针对通信通道和系统数据库上的修改攻击的安全性。压缩感知理论框架用于在嵌入到主机生物特征图像之前为水印生物特征图像提供更多的计算安全性和尺寸缩减。提出的这种水印技术对所有可能的水印攻击具有鲁棒性。

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