A Novel Approach to Printed Arabic Optical Character Recognition

Alghamdi, Mansoor

doi:10.1007/s13369-021-06163-9

Cited by 7 publications

(1 citation statement)

References 31 publications

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“…For this purpose, ATPI is the dataset used to make a font-independent OCR system that achieves 97.51% accuracy. In [45], the authors propose a thinning algorithm in the preprocessing stage. A new chain code representation technique is proposed using an agent-based model for feature extraction from non-dotted Arabic text images.…”

Section: Printed Arabicmentioning

confidence: 99%

A Survey of OCR in Arabic Language: Applications, Techniques, and Challenges

et al. 2023

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Optical character recognition (OCR) is the process of extracting handwritten or printed text from a scanned or printed image and converting it to a machine-readable form for further data processing, such as searching or editing. Automatic text extraction using OCR helps to digitize documents for improved productivity and accessibility and for preservation of historical documents. This paper provides a survey of the current state-of-the-art applications, techniques, and challenges in Arabic OCR. We present the existing methods for each step of the complete OCR process to identify the best-performing approach for improved results. This paper follows the keyword-search method for reviewing the articles related to Arabic OCR, including the backward and forward citations of the article. In addition to state-of-art techniques, this paper identifies research gaps and presents future directions for Arabic OCR.

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Section: Printed Arabicmentioning

confidence: 99%