阿拉伯文和拉丁文文字图像的文字和性质区分

S. Kanoun, A. Ennaji, Y. Lecourtier, A. Alimi
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引用次数: 36

摘要

提出了一种区分印刷和手写阿拉伯文和拉丁文文本块的方法。该方法基于在文本块级别对每个脚本进行形态学分析,以及在行和连接组件级别对每个脚本进行几何分析。在本文中,我们简要介绍了现有的文字区分方法以及阿拉伯文和拉丁文的一般特征。然后,我们描述了我们的方法来区分这些最后的脚本。最后给出了两个不同数据集上的实验结果。400个文本块组成第一个,335个文本块组成第二个。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Script and nature differentiation for Arabic and Latin text images
A method for Arabic and Latin text block differentiation for printed and handwritten scripts is proposed. This method is based on a morphological analysis for each script at the text block level and a geometrical analysis at the line and the connected component level. In this paper, we present a brief survey, of existing methods used for scripts differentiation as well as a general characteristics of Arabic and Latin scripts. Then, We describe our method for the differentiation of these last scripts. We finally show two experimental results on two different data sets. 400 text blocks constitute the first one and 335 text blocks compose the second.
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