Embedded visual cryptography for secure transmission of bank cheque

S. Rajaram, R. Suganya
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引用次数: 3

Abstract

Today, banking system has carried banking for the customer's expediency, supporting set of services, where authentication plays a vital role. Due to the fabulous apprehension and growth in the field of hacking, that it is not safe to rely on web to accumulate all the information. So in order to beat this problem we have proposed an efficient algorithm for secured bank cheque authentication by Embedded image Cryptography scheme. It is a cryptographic approach that uses visual information as input, encryption and decryption is done by using human visual system. The proposed method Embedded Visual Cryptography Scheme (EVCS) uses gray threshold with morphological operation for secure transmission of bank cheque over the network. In this approach first apply gray threshold with morphological operation and divide the input image into different number of secret share images using traditional visual cryptography technique. Embed the each share into different cover images. Finally, stack the embedded images to get the original information of images. The performance of proposed method is calculated by using PSNR, UQI and MSE Value. The proposed EVCS shows the high performance in terms PSNR, UQI and MSE for secure transmission of bank cheque over network.
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用于安全传输银行支票的嵌入式可视密码术
如今,银行系统已经承载了银行业务为客户的便利性、支持性服务的集合,其中身份验证起着至关重要的作用。由于黑客领域的惊人担忧和增长,依靠网络来积累所有信息是不安全的。为了解决这一问题,我们提出了一种基于嵌入式图像加密方案的安全银行支票认证算法。它是一种以视觉信息作为输入,利用人的视觉系统进行加密和解密的密码学方法。提出的嵌入式视觉加密方案(EVCS)采用灰度阈值和形态学运算实现了银行支票的网络安全传输。该方法首先将灰度阈值与形态学运算相结合,利用传统的视觉密码技术将输入图像分割成不同数量的秘密共享图像。将每个共享嵌入不同的封面图像中。最后对嵌入的图像进行叠加,得到图像的原始信息。利用PSNR、UQI和MSE值计算了该方法的性能。所提出的EVCS在PSNR、UQI和MSE方面表现出较高的性能,可用于网络上银行支票的安全传输。
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