Real Time Image Processing and Forensic Verification of Documents

M. Ramamoorthy, N. Ayyanathan, M. PadmaUsha
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Abstract

Image Processing is a computer science field which involves the analysis and manipulation of digitized image, especially in order to improve its quality. The particular document is converted to an image format in order to achieve a common goal in image processing to get an enhanced image. Enhanced Image refers to the extraction of useful information which is used to detect the fabricated documents. We use Python inbuilt command for front-end and Machine Language (which can identify and execute algorithm) for Back-end. The documents which are converted into image format may not be original always. Even though some of current framework are available to find the fake documents the reliability is not assured. So there is the need to improve the performance of search results. Hence the effectual document verification will be provided using image processing in MATLAB software. The system is used to process the document verification without any Google assistant and to control the leakage of statistical information. Fabrication of documents can be found in an efficient way and can be protected from forgery activities. Thus the system helps the user to find out the fabricated documents using the original
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文件的实时图像处理和法医验证
图像处理是一门计算机科学,涉及对数字化图像的分析和处理,特别是为了提高其质量。将特定文档转换为图像格式是为了实现图像处理中的一个共同目标,即获得增强的图像。增强图像是提取有用信息,用于检测伪造文件。前端使用Python内置命令,后端使用机器语言(可以识别和执行算法)。转换为图像格式的文件不一定总是原始的。尽管现有的一些框架可以用于查找虚假文档,但其可靠性仍不能得到保证。因此,有必要提高搜索结果的性能。因此,将在MATLAB软件中使用图像处理提供有效的文档验证。该系统用于在没有谷歌辅助的情况下进行文件审核,并控制统计信息的泄漏。伪造文件可以被有效地发现,并可以防止伪造活动。从而帮助用户利用原件查找伪造的文件
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