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Comparative Performance Analysis of Enhancement Methods Applied to Arabic Manuscripts

机译:阿拉伯语手稿应用增强方法的比较绩效分析

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摘要

The ancient Arabic manuscripts are considered to be more complex regarding enhancement compared to others written in other languages. Complexity comes from character degradation, stains, low-quality images, curves of the text, character overlapping, etc. To facilitate the restoration, a set of well-known binarization techniques designed for historical document images is presented in this paper. Existing binarization techniques focus on either finding an appropriate global threshold for the whole image or adapting a local threshold for each area to achieve better enhancement quality. This improvement aims to remove noises, strains, uneven illumination, etc. The goal of our work is to assess these methods when applied to Arabic manuscripts in terms of readability, elimination of original spots and production of unwanted noise. Results show that no techniques work well for all types of manuscripts, but some techniques work better than others for particular types. Experimental results also indicate that Nick and Wolf techniques performed the best in terms of readability in most of the processed manuscripts.
机译:与用其他语言写的其他人相比,古代阿拉伯语手稿被认为更复杂。复杂性来自字符下降,污渍,低质量图像,文本的曲线,字符重叠等。为了便于恢复,本文提出了一组专为历史文档图像设计的众所周知的二值化技术。现有的二值化技术侧重于找到整个图像的适当全局阈值,或者调整每个区域的本地阈值以实现更好的增强质量。这种改进旨在消除噪声,菌株,不均匀照明等。我们的作品的目标是在可读性方面应用于阿拉伯语手稿时评估这些方法,消除原始斑点和不需要的噪音。结果表明,没有技术适用于所有类型的稿件,但有些技术比其他技术更好地工作。实验结果还表明尼克和狼技术在大多数加工手稿中的可读性方面表现最佳。

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