Document Fragments Restoration via Similarity Measurement

Yuelan Liu, Yuefan Liu, Fanyu Meng
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Abstract

The automatic restoration technology of shredded paper is an important branch in computer science. It plays an important role in judicial evidence restoration, the restoration of secret documents, and many other areas. In this article, we establish a similarity measurement model by data mining. This article mainly focuses on Chinese text files with regular cutting. The mathematic model is established and used for restoration, we provide several measurements to achieve the restoration and reduce the workload of manual intervention. At the same time, this article provides a way to restore two-side printing shredded documents. This paper gives experimental results that prove the effectiveness of the proposed method.
基于相似性度量的文档片段修复
碎纸自动修复技术是计算机科学的一个重要分支。它在司法证据复原、秘密文件复原等诸多领域发挥着重要作用。本文采用数据挖掘的方法建立了相似度度量模型。本文主要研究规则裁剪的中文文本文件。建立了数学模型并用于修复,提出了几种实现修复的措施,减少了人工干预的工作量。同时,本文提供了一种双面打印粉碎文件的复原方法。实验结果证明了该方法的有效性。
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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