Results 41 to 50 of about 4,122 (162)
Synthesis of Common Arabic Handwritings to Aid Optical Character Recognition Research
Sensors, 2016 Document analysis tasks such as pattern recognition, word spotting or segmentation, require comprehensive databases for training and validation. Not only variations in writing style but also the used list of words is of importance in the case that ...
Laslo Dinges +3 more
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Quranic Optical Text Recognition Using Deep Learning Models
IEEE Access, 2021 A Quranic optical character recognition (OCR) system based on convolutional neural network (CNN) followed by recurrent neural network (RNN) is introduced in this work. Six deep learning models are built to study the effect of different representations of
Masnizah Mohd +3 more
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Arabic Handwritten Letters Recognition Using Convolutional Neural Networks
Advances in Electrical and Computer EngineeringArabic handwriting recognition is a complex task due to the script’s cursive nature, the presence of diacritics, character positioning, connected letters, and variations in individual writing styles.
SIDAOUI, B., KAOUAN, M.
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Journal of Disability ResearchRecognizing handwritten Arabic writing poses unique challenges for individuals with visual impairments due to the diverse range of calligraphic styles employed.
Manel Ayadi +4 more
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Text-Dependent Writer Identification for Arabic Handwriting
Journal of Electrical and Computer Engineering, 2012 This paper proposes a system for text-dependent writer identification based on Arabic handwriting. First, a database of words was assembled and used as a test base. Next, features vectors were extracted from writers' word images.
Somaya Al-Maadeed
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End-Shape Recognition for Arabic Handwritten Text Segmentation [PDF]
, 2014 Text segmentation is an essential pre-processing stage for many systems such as text recognition and word spotting. However, few methods have been published for Arabic text segmentation. In Arabic handwritten documents, separating text into words is challenging due to the enormous different Arabic handwriting styles.
Amani T. Jamal +2 more
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A segmentation-free approach to text recognition with application to Arabic text [PDF]
International Journal on Document Analysis and Recognition, 1998 As the recognition rates and speeds of optical character recognition (OCR) systems steadily improve, the problem of OCR--and subsequently research interest--is shifting from recognizing: isolated, high-quality characters to reading cursive scripts and degraded documents.
Badr Al-Badr, Robert M. Haralick
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A new hybrid method for Arabic multi-font text segmentation, and a reference corpus construction
Journal of King Saud University: Computer and Information Sciences, 2020 In analytical systems of Arabic text recognition, segmentation is a critical and decisive stage. In this stage, words after being extracted from the text document are segmented into individual characters to allow the feature extraction and classification.
Abdelhay Zoizou +2 more
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A Proposed Arabic Handwritten Text Normalization Method
Journal of ICT Research and Applications, 2014 Text normalization is an important technique in document image analysis and recognition. It consists of many preprocessing stages, which include slope correction, text padding, skew correction, and straight the writing line.
Tarik Abu-Ain +5 more
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Hybrid Feature Model for Emotion Recognition in Arabic Text
IEEE Access, 2020 In recent years, research into developing state-of-the-art models for Arabic natural language processing tasks has gained momentum. These models must address the added difficulties related to the nature and structure of the Arabic language. In this paper,
Nourah Alswaidan +1 more
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