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Comparative systems of handwriting Arabic character recognition

机译:手写阿拉伯字符识别比较系统

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Handwriting Arabic character recognition is one of the most challenging and complex tasks of research in Optical Character Recognition (OCR) and little research has been achieved in this area in the past few decades. This is due to the cursive nature of Arabic writing and the lack of public Arabic handwriting databases. In this paper, we present a general model of OCR system and an overview on several recently researches on offline handwriting Arabic character recognition systems. To evaluate the performance of these systems we compare their results using same database Benchmarking IFN/ENIT.
机译:手写阿拉伯字符识别是光学字符识别(OCR)研究中最具挑战性和最复杂的任务之一,并且在过去的几十年中,在这一领域的研究很少。这是由于阿拉伯文字的草书性质和缺乏公共阿拉伯文字数据库的缘故。在本文中,我们介绍了OCR系统的一般模型,并概述了脱机手写阿拉伯字符识别系统的一些最新研究。为了评估这些系统的性能,我们使用相同的基准基准IFN / ENIT比较它们的结果。

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