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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Printed Arabic Script Recognition: A Survey

Author 1: Mansoor Alghamdi
Author 2: William Teahan

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2018.090953

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 9, 2018.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Optical character recognition (OCR) is essential in various real-world applications, such as digitizing learning resources to assist visually impaired people and transforming printed resources into electronic media. However, the development of OCR for printed Arabic script is a challenging task. These challenges are due to the specific characteristics of Arabic script. Therefore, different methods have been proposed for developing Arabic OCR systems, and this paper aims to provide a comprehensive review of these methods. This paper also discusses relevant issues of printed Arabic OCR including the challenges of printed Arabic script and performance evaluation. It concludes with a discussion of the current status of printed Arabic OCR, analyzing the remaining problems in the field of printed Arabic OCR and providing several directions for future research.

Keywords: Optical character recognition; arabic printed OCR; arabic text recognition; arabic OCR survey; feature extraction; segmentation; classification

Mansoor Alghamdi and William Teahan, “Printed Arabic Script Recognition: A Survey” International Journal of Advanced Computer Science and Applications(IJACSA), 9(9), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090953

@article{Alghamdi2018,
title = {Printed Arabic Script Recognition: A Survey},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090953},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090953},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {9},
author = {Mansoor Alghamdi and William Teahan}
}


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