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Strip shredded document reconstruction using optical character recognition

机译:使用光学字符识别的条状切碎文档重建

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摘要

Document reconstruction affects different areas such as archeology, philology and forensics. A reconstruction of fragmented writing materials allows to retrieve and to analyze the lost content. Due to the complexity of reconstruction, automated algorithms are necessary. A reconstruction methodology for shredded documents is presented in this paper which recognizes characters at the stripes' borders and matches them subsequently. In order to achieve this, an Optical Character Recognition (OCR) system is exploited, that is capable of recognizing partially visible characters by means of local features. Thus, no binarization needs to be performed. Preliminary results show the ability of matching shredded documents using the information of cut characters.
机译:文件重建影响考古,语言学和法证学等不同领域。零散的书写材料的重建可以检索和分析丢失的内容。由于重建的复杂性,因此需要自动算法。本文提出了一种切碎文档的重建方法,该方法可以识别条纹边缘处的字符并随后对其进行匹配。为此,开发了一种光学字符识别(OCR)系统,该系统能够通过局部特征识别部分可见的字符。因此,不需要执行二值化。初步结果显示了使用剪切字符信息匹配切碎文档的能力。

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