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.
Highlights
Optical Character Recognition (OCR) is a technique that transforms a printed or handwritten text image into an electronic format
In an attempt to evaluate the status of printed Arabic OCR and support the claim that more research is needed in many areas, we used Google scholar to search for scientific research publications using phrases that are related to Arabic text recognition
It is apparent from the table that there is a lack of Arabic OCR research as comparatively very little research has focused on Arabic OCR compared to studies in OCR for other languages
Summary
Optical Character Recognition (OCR) is a technique that transforms a printed or handwritten text image into an electronic format. OCR development is considered a challenging task in the field of pattern recognition. Many OCR approaches have been proposed for Latin and non-Latin scripts. Printed Arabic OCR still poses great challenges because of the special characteristics of Arabic script [1]. There are many initiatives for Arabic digital content enrichment [4]. One of these initiatives is King Abdullah‟s Initiative for Arabic Content. A robust and efficient Arabic OCR is required to support this initiative by increasing Arabic content on the Internet
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