Advancements and Challenges in Arabic Optical Character Recognition: A Comprehensive Survey
Mahmoud SalahEldin Kasem, Mohamed Mahmoud, Hyun-Soo Kang

TL;DR
This comprehensive survey reviews recent advancements, methodologies, and challenges in Arabic OCR, highlighting research gaps and guiding future development of more accurate and efficient systems for Arabic text recognition.
Contribution
It provides an exhaustive analysis of current techniques, identifies research gaps, and offers insights to guide future research in Arabic OCR.
Findings
Analysis of prevailing OCR techniques for Arabic
Identification of key research gaps in Arabic OCR
Guidance for future research directions
Abstract
Optical character recognition (OCR) is a vital process that involves the extraction of handwritten or printed text from scanned or printed images, converting it into a format that can be understood and processed by machines. This enables further data processing activities such as searching and editing. The automatic extraction of text through OCR plays a crucial role in digitizing documents, enhancing productivity, improving accessibility, and preserving historical records. This paper seeks to offer an exhaustive review of contemporary applications, methodologies, and challenges associated with Arabic Optical Character Recognition (OCR). A thorough analysis is conducted on prevailing techniques utilized throughout the OCR process, with a dedicated effort to discern the most efficacious approaches that demonstrate enhanced outcomes. To ensure a thorough evaluation, a meticulous…
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Taxonomy
TopicsHandwritten Text Recognition Techniques · Computer Science and Engineering · Vehicle License Plate Recognition
