A REVIEW OF ARABIC TEXT RECOGNITION DATASET
Asia-Pacific Journal of Information Technology and Multimedia, 2020 Building a robust Optical Character Recognition (OCR) system for languages, such as Arabic with cursive scripts, has always been challenging. These challenges increase if the text contains diacritics of different sizes for characters and words.
Idris Saleh Al-Sheikh +2 more
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Arabic Cursive Text Recognition from Natural Scene Images [PDF]
Applied Sciences, 2019 This paper presents a comprehensive survey on Arabic cursive scene text recognition. The recent years’ publications in this field have witnessed the interest shift of document image analysis researchers from recognition of optical characters to ...
Saad Bin Ahmed +3 more
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Attention based unified architecture for Arabic text detection on traffic panels to advance autonomous navigation in natural scenes [PDF]
Scientific ReportsThe increasing reliance on autonomous navigation systems necessitates robust methods for detecting and recognizing textual information in natural scenes, especially in complex scripts like Arabic.
Basma M. Hassan +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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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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Unveiling Arabic named entity recognition using natural language processing with artificial intelligence approach on Moroccan dialect [PDF]
Scientific ReportsNamed entity recognition (NER) is a significant natural language processing task (NLP) in several applications, including question-answering and data retrieval.
Wala Bin Subait +7 more
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A scarce dataset for ancient Arabic handwritten text recognition
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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CNN-optimized text recognition with binary embeddings for Arabic expiry date recognition
Journal of Electrical Systems and Information TechnologyRecognizing Arabic dot-matrix digits is a challenging problem due to the unique characteristics of dot-matrix fonts, such as irregular dot spacing and varying dot sizes.
Mohamed Lotfy, Ghada Soliman
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Printed Arabic Text Recognition Algorithms.(Dept.E) [PDF]
MEJ. Mansoura Engineering Journal, 2021 Este documento presenta tres algoritmos eficientes y confiables para el reconocimiento automático de texto árabe impreso. El primer algoritmo se basa en características matemáticas, el segundo utiliza características estructurales y matemáticas, mientras que el tercero utiliza características estructurales.
Mofreh Mohamed +3 more
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Application of soft computing techniques in machine reading of Quranic Kufic manuscripts
Journal of King Saud University: Computer and Information Sciences, 2022 Research work in the field of offline Arabic handwriting recognition has seen an exponential growth during past decades. Despite much work dedicated to the recognition of handwritten Arabic text, there remains a lot to achieve in this regard.
Aasim Zafar, Arshad Iqbal
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