Automatic segmentation for Arabic characters in handwriting documents

Lawgali, Ahmed, Bouridane, Ahmed, Angelova, Maia and Ghassemlooy, Zabih (2011) Automatic segmentation for Arabic characters in handwriting documents. In: Proceedings of the 18th IEEE International Conference on Image Processing. IEEE, Piscataway, NJ, pp. 3529-3532. ISBN 978-1457713040

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The cursive and ligature nature of the Arabic script make the segmentation of words into individual characters a difficult task. Despite attempts to apply methods for cursive Latin and other scripts to Arabic script, it is generally insufficient to segment the Arabic text. This paper proposes a new segmentation algorithm for the handwritten Arabic text and the main idea consists of segmenting the word into sub-words and then computing the baseline of each sub-word. Using the descenders of sub-words and the baseline, candidate points are then calculated using a vertical projection. The algorithm has been tested using 800 handwritten Arabic words taken from the IFN/ENIT database and a comparison made against some existing methods and promising results have been obtained.

Item Type: Book Section
Additional Information: This paper was presented at the 2011 18th IEEE International Conference on Image Processing (ICIP), held in Brussels from 11- 14 September 2011.
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Ay Okpokam
Date Deposited: 30 May 2012 11:09
Last Modified: 12 Oct 2019 22:29

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