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.

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}
}