Translator Disclaimer
16 March 2015 Printed Arabic optical character segmentation
Author Affiliations +
Proceedings Volume 9399, Image Processing: Algorithms and Systems XIII; 939911 (2015)
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
A considerable progress in recognition techniques for many non-Arabic characters has been achieved. In contrary, few efforts have been put on the research of Arabic characters. In any Optical Character Recognition (OCR) system the segmentation step is usually the essential stage in which an extensive portion of processing is devoted and a considerable share of recognition errors is attributed. In this research, a novel segmentation approach for machine Arabic printed text with diacritics is proposed. The proposed method reduces computation, errors, gives a clear description for the sub-word and has advantages over using the skeleton approach in which the data and information of the character can be lost. Both of initial evaluation and testing of the proposed method have been developed using MATLAB and shows 98.7% promising results.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Khader Mohammad, Muna Ayyesh, Aziz Qaroush, and Iyad Tumar "Printed Arabic optical character segmentation", Proc. SPIE 9399, Image Processing: Algorithms and Systems XIII, 939911 (16 March 2015);

Back to Top