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Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey

机译：用于识别类似阿拉伯文字的分割技术：全面调查

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摘要

Arabic script based text recognition system has been a popular field of research for many years that can be used in the learning and teaching process to the students and educators how to read and understand educational contents of Arabic script. The challenging nature of Arabic script recognition has attracted the attention of researchers from both industry and academic circles but these efforts have not achieved good results until now. Segmentation of Urdu script when written in Nasta'liq writing style is very difficult task due to the complexity of writing style as compare to Naskh writing style. Good segmentation is one of the reasons for high accuracy. Character segmentation has been a critical phase of the OCR process. The higher recognition rates for isolated characters as compare to results of words or connected character well illustrate the importance of segmentation. Current study investigates the recent work for character segmentation and challenges for segmentation for Arabic script based languages.
机译：基于阿拉伯文字的文本识别系统多年来一直是研究的热门领域，可用于学生和教育者在学习和教学过程中如何阅读和理解阿拉伯文字的教育内容。阿拉伯文字识别的挑战性吸引了来自行业和学术界的研究人员的注意力，但是这些努力直到现在仍未取得良好的结果。与Naskh写作风格相比，以Nasta'liq写作风格进行书写时，对Urdu脚本进行分段非常困难。良好的分割是准确性高的原因之一。字符分割一直是OCR流程的关键阶段。与单词或关联字符的结果相比，孤立字符的识别率更高，这很好地说明了分段的重要性。当前的研究调查了基于阿拉伯脚本语言的字符分割和分割挑战的最新工作。

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