Secure Multimodal Biometric System Based on Robust LSB-DWT Digital Watermarking Algorithm

P. G, K. S, Manimuthu Ayyannan, Selvam N, B. K, Neelam Sanjeev Kumar
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Abstract

In contemporary year, multimedia data is transmitted and accessed through Internet. Despite of its advantages, unauthorized copying, distribution and hacking of data has created security issues. So secure transmission and access of the biometric data has to be suggested. A single biometric identification is not preferable in most highly secured areas due to their parody attacks and ageing. These limitations can be overcome by deploying this system that incorporate information from multiple sources for personnel identification. In this project multiple sources are incorporated using Digital watermarking algorithm comprising both the spatial and frequency domain approach. Even though the digital watermarking scheme is highly secured, network hackers may easily trap the image and it's key. So to increase the security, encryption and decryption of watermarked image using RSA algorithm is employed at the transmission and the reception side respectively. So the cipher text image is alone transmitted in the network increasing the security of the multimodal data. The Stillness of this proposed scheme is measured by Quality Index (QI), Similarity of the original and the recovered images for various attacks and Peak Signal to Noise Ratio (PSNR).
基于鲁棒LSB-DWT数字水印算法的安全多模态生物识别系统
在当今时代,多媒体数据是通过互联网传输和访问的。尽管有这些优点,但未经授权的复制、分发和黑客攻击数据已经造成了安全问题。因此,必须建议安全传输和访问生物特征数据。单一的生物识别是不可取的,在大多数高度安全的地区,由于他们的模仿攻击和老化。这些限制可以通过部署该系统来克服,该系统包含来自多个来源的信息,用于人员识别。在这个项目中,使用包含空间和频域方法的数字水印算法合并了多个源。尽管数字水印方案具有很高的安全性,但网络黑客很容易捕获图像及其密钥。为了提高安全性,在发送端和接收端分别采用RSA算法对水印图像进行加密和解密。因此,密文图像可以单独在网络中传输,提高了多模态数据的安全性。通过质量指数(QI)、各种攻击下原始图像与恢复图像的相似度以及峰值信噪比(PSNR)来衡量该方案的静止性。
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