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首页> 外文会议>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：基于离散的小波变换和基于压缩的多学术水印 - 一种将水印嵌入生物学中的新方法

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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：多学术系统使用同一个人的两个或两个以上特征以进行识别和认证。这是提高个人的安全性和真实性。关于多学徒系统的发布是在系统数据库的修改攻击和系统之间的两个模块之间的通信信道的模板保护。本文提出了一种使用压缩感测理论框架在小波域中进行了一种新型多学力水印技术。所提出的技术的主要思想是利用水印生物识别图像和随机种子的细节小波系数生成的水印生物识别图像的稀疏测量，其被嵌入到同一个体的主机生物识别图像的近似小波系数中。该提出的技术是生成的多学生模板，该模板在通信信道和系统数据库中提供了对修改攻击的安全性，因为安全的生物特征信息被嵌入到同一个体的另一个生物识别中。压缩传感理论框架用于在嵌入到主机生物识别图像之前提供更多的计算安全性和尺寸减少到水印生物识别图像。这一提出的水印技术对所有可能的水印攻击具有稳健。

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