Arabic Handwriting Data Base for Text Recognition
AbstractThe process of assessing the outcomes obtained by various groups of researchers is heavily facilitated by conventional databases. This paper introduces, an database (AHDB/FTR) comprising Arabic Handwritten Text Images, which helps the researches associated with recognition of Arabic handwritten text with open vocabulary, word segmentation and ...
Ramdan, Jabril +3 more
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A Deep Diacritics-Based Recognition Model for Arabic Speech: Quranic Verses as Case Study
Arabic is the language of more than 422 million of the world’s population. Although classic Arabic is the Quran language that 1.9 billion Muslims are required to recite, limited Arabic speech recognition exists.
Sarah S. Alrumiah, Amal A. Al-Shargabi
doaj +1 more source
Machine Learning Approach for Arabic Handwritten Recognition
Text recognition is an important area of the pattern recognition field. Natural language processing (NLP) and pattern recognition have been utilized efficiently in script recognition.
A. M. Mutawa +2 more
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An End-to-End Scene Text Recognition for Bilingual Text
Text localization and recognition from natural scene images has gained a lot of attention recently due to its crucial role in various applications, such as autonomous driving and intelligent navigation.
Bayan M. Albalawi +3 more
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Advancements in CNN Architectures for Offline Handwritten Arabic Character Recognition [PDF]
Analyzing and classifying images of Arabic handwritten characters is crucial for text understanding and interpretation from image data. The recognition of handwritten Arabic characters not only preserves the integrity of the Arabic language but also ...
El Ibrahimi Aissam +4 more
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Cursive-Text: A Comprehensive Dataset for End-to-End Urdu Text Recognition in Natural Scene Images
Reading text in natural scene images is an active research area in the fields of computer vision and pattern recognition as text detection, text recognition and script identification are required.
Asghar Ali Chandio +3 more
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Analysis of Recent Deep Learning Techniques for Arabic Handwritten-Text OCR and Post-OCR Correction
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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Arabic Text Recognition and Machine Translation [PDF]
[ES] El reconocimiento de texto manuscrito (HTR) en árabe y la traducción automática (MT) del árabe al inglés se han tratado habitualmente como dos áreas de estudio independientes. De hecho, la idea de crear un sistema que combine las dos áreas, que directamente genere texto en inglés a partir de imágenes que contienen texto en árabe, sigue siendo una ...
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A New Computational Method for Arabic Calligraphy Style Representation and Classification
Despite the importance of recognizing Arabic calligraphy styles and their potential usefulness for many applications, a very limited number of Arabic calligraphy style recognition works have been established. Thus, we propose a new computational tool for
Zineb Kaoudja +2 more
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Open Datasets and Tools for Arabic Text Detection and Recognition in News Video Frames
Recognizing texts in video is more complex than in other environments such as scanned documents. Video texts appear in various colors, unknown fonts and sizes, often affected by compression artifacts and low quality. In contrast to Latin texts, there are
Oussama Zayene +4 more
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