Experimental evaluation of Arabic OCR systems [PDF]
International Journal of Crowd Science, 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, William Teahan
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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
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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
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Analysis of Recent Deep Learning Techniques for Arabic Handwritten-Text OCR and Post-OCR Correction
Applied Sciences, 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.
Rayyan Najam, Safiullah Faizullah
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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
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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
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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
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Recognition of Arabic Air-Written Letters: Machine Learning, Convolutional Neural Networks, and Optical Character Recognition (OCR) Techniques [PDF]
Sensors, 2023 Air writing is one of the essential fields that the world is turning to, which can benefit from the world of the metaverse, as well as the ease of communication between humans and machines.
Khalid M. O. Nahar +6 more
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Deep convolutional neural network for isolated Arabic handwritten character recognition: design, evaluation, and comparative study [PDF]
Scientific ReportsThe recognition of handwritten Arabic characters offerings a multifaceted challenge that holds fundamental standing across domains such as document digitization, human-computer interaction, and assistive technologies.
Eyad Talal Attar
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KSTRV1: A scene text recognition dataset for central Kurdish in (Arabic-Based) scriptZenodo [PDF]
Data in BriefScene Text Recognition (STR) has advanced significantly in recent years, yet languages utilizing Arabic-based scripts, such as Kurdish, remain underrepresented in existing datasets. This paper introduces KSTRV1, the first large-scale dataset designed for
Sardar Omar Salih, Karwan Jacksi
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