Experimental evaluation of Arabic OCR systems [PDF]
PSU Research Review, 2017 Purpose – The aim of this paper is to experimentally evaluate the effectiveness of the state-of-the-art printed Arabic text recognition systems to determine open areas for future improvements.
Mansoor Alghamdi
exaly +6 more sources
A Holistic Technique for an Arabic OCR System [PDF]
Journal of Imaging, 2017 Analytical based approaches in Optical Character Recognition (OCR) systems can endure a significant amount of segmentation errors, especially when dealing with cursive languages such as the Arabic language with frequent overlapping between characters ...
Farhan M. A. Nashwan +4 more
doaj +4 more sources
Analysis of Recent Deep Learning Techniques for Arabic Handwritten-Text OCR and Post-OCR Correction
Applied Sciences (Switzerland), 2023 Arabic handwritten-text recognition applies an OCR technique and then a text-correction technique to extract the text within an image correctly. Deep learning is a current paradigm utilized in OCR techniques.
Safiullah Faizullah, Rayyan Najam
exaly +4 more sources
A Survey of OCR in Arabic Language: Applications, Techniques, and Challenges
Applied Sciences (Switzerland), 2023 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
Muhammad Sohaib Ayub, Sajid Hussain
exaly +4 more sources
ADOCRNet: A Deep Learning OCR for Arabic Documents Recognition
IEEE AccessIn recent years, Optical character recognition (OCR) has experienced a resurgence of interest especially for contemporary Arabic data. In fact, OCR development for printed and handwritten Arabic script is still a challenging task.
Adel M Alimi +2 more
exaly +5 more sources
SARD: A Large-Scale Synthetic Arabic OCR Dataset for Book-Style Text Recognition [PDF]
Scientific DataArabic Optical Character Recognition (OCR) plays a critical role in converting extensive Arabic print media into digital formats. The development of modern OCR models, particularly advanced vision-language models, is hindered by the lack of large ...
Yasser Alhabashi +4 more
doaj +2 more sources
Integrating CNN and transformer architectures for superior Arabic printed and handwriting characters classification [PDF]
Scientific ReportsOptical Character Recognition (OCR) systems play a crucial role in converting printed Arabic text into digital formats, enabling various applications such as education and digital archiving.
Mohammed R. Al-Maamari +3 more
doaj +2 more sources
A Deep Learning Approach for Arabic Manuscripts Classification [PDF]
Sensors, 2023 For centuries, libraries worldwide have preserved ancient manuscripts due to their immense historical and cultural value. However, over time, both natural and human-made factors have led to the degradation of many ancient Arabic manuscripts, causing the ...
Lutfieh S. Al-homed +2 more
doaj +2 more sources
Character recognition system for pegon typed manuscript [PDF]
HeliyonThe Pegon script is an Arabic-based writing system used for Javanese, Sundanese, Madurese, and Indonesian languages. Due to various reasons, this script is now mainly found among collectors and private Islamic boarding schools (pesantren), creating a ...
Yova Ruldeviyani +5 more
doaj +2 more sources
A scarce dataset for ancient Arabic handwritten text recognition [PDF]
Data in BriefDeveloping Deep Learning Optical Character Recognition is an active area of research, where models based on deep neural networks are trained on data to eventually extract text within an image.
Rayyan Najam, Safiullah Faizullah
doaj +2 more sources