Regenerate the Shredded Documents by using Memetic Algorithm

F. Khan, R. Shams, Dur-e-Shawar Agha, Rabia Noor Enam
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Abstract

It seems quite interesting to reconstruct the destroyed documents. On the other hand it is possible that documents might be mistakenly destroyed by someone. Another useful application of this type is in the field of forensics and archeology for the restoring of the ancient documents. To reduce the availability of information documents are shredded. The advent of new and effective ways has developed a convenient way for the people to get rid of important information so that it could not get into the hands of others. It includes the use of shredder to render the information on the pages useless and usually eliminating of proof is been practiced. The same scenario has been dealt hereby and an efficient way of rearranging those strips, known as shreds, to recreate the original document is been designed. This paper presents an efficient way of reconstructing the documents by genetic algorithm which is an extended version of memetic algorithm by emerging the variable neighborhood search (VNS). This computer based algorithm deals with an input of multiple shreds of a single page, which are to be rearranged in order to make the text on it understandable. A few Image Processing techniques are been used to get back what was intended to be destroyed. This consumes less time as compared to manual rearranging with promising results in a form of Image. Recommendations are also indicated to improve the algorithm.
利用模因算法重新生成切碎的文件
重建被毁的文件似乎很有趣。另一方面,文件可能会被某人错误地销毁。这种类型的另一个有用的应用是在法医和考古学领域,用于恢复古代文件。为了减少信息的可用性,文件被粉碎。新的有效的方法的出现为人们提供了一种方便的方法来处理重要的信息,这样它就不会落入别人的手中。它包括使用碎纸机,使页面上的信息无用,通常是消除证据的做法。在此处理了相同的场景,并设计了一种重新排列这些条带(称为碎片)以重新创建原始文档的有效方法。本文提出了一种利用遗传算法进行文档重构的有效方法。遗传算法是模因算法的扩展版本,它引入了可变邻域搜索(VNS)。这种基于计算机的算法处理单个页面的多个碎片的输入,这些碎片将被重新排列,以使其上的文本可以理解。一些图像处理技术被用来恢复被破坏的东西。与手动重新排列相比,这消耗了更少的时间,并以图像的形式获得了有希望的结果。并提出了改进算法的建议。
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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