Segmentation of Handwritten and Printed Arabic Documents
نویسنده
چکیده
on this paper, we proposed a new text line segmentation of handwritten and typewriting Arabic document images that uses the Outer Isothetic Cover (OIC) algorithm of a digital object. In the first step, we use this method to segment the composed document into text blocs. In the second step, for each text bloc we will extract the text lines. Finally, line text will be segmented into words or into pieces of Arabic word (PAWs). The first results obtained in the current stage of the proposed method over a dozen texts are encouraging. We have also tested this method on documents written in Latin scripts. Keywords—handwritten and modern document; text line segmentation; document image; pieces of Arabic words
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