Detection of manipulated cheque images in Cheque Truncation System using mismatch in pixels

Maloth Rajender, R. Pal
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引用次数: 11

Abstract

Cheque Truncation System (CTS) is an image based cheque clearing system. It enables faster clearing of cheques. Indian banks have implemented this technology in selected areas of the country. Meanwhile, several fraud cases have already occurred by taking advantage of inadequate security mechanisms of this system. One of several mechanisms of committing frauds is to alter the digital image of the cheque. This paper proposes a method to tackle this type of fraud. It is based on inserting a watermark signal in the image of the cheque. But unlike traditional watermarking, this method is not interested in extracting the watermark at the receiver side. Rather it counts number of mismatching pixels in between the cover image and the watermarked image to detect occurrence of fraud. It also can identify which portions of the cheque image have been altered.
利用像素不匹配检测支票截断系统中被篡改的支票图像
支票截断系统(CTS)是一个基于图像的支票清算系统。它使支票的清算速度更快。印度的银行已经在该国选定的地区实施了这项技术。同时,利用这一制度的安全机制不完善,已经发生了多起诈骗案件。实施欺诈的几种机制之一是改变支票的数字图像。本文提出了一种解决这类欺诈的方法。它是基于在支票图像中插入水印信号。但与传统的水印方法不同,该方法不关心在接收端提取水印。相反,它计算封面图像和水印图像之间不匹配像素的数量,以检测欺诈的发生。它还可以识别支票图像的哪些部分已被更改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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