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An Arabic Manuscript Regions Detection, Recognition and Its Applications for OCRing
ACM Transactions on Asian and Low-Resource Language Information Processing, 2023The problem of Region of Interest (RoI) in document layout analysis and document recognition has recently become an essential topic in OCRing systems. Arabic manuscript layout analysis and OCRing recognition using language detection, document category, and RoI with Keras and TensorFlow are terms of the state-of-the-art that should be investigated. This
Hassanin M. Al-Barhamtoshy +3 more
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1988
This paper presents a method for the recognition of multi-fonts Arabic texts entered from a scanner (300 dpi). The technique for the recognition presents the following steps: digitization, line sparation, word separation, segmentation of a word into characters, indentification of each character and finally recognition of the word.
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This paper presents a method for the recognition of multi-fonts Arabic texts entered from a scanner (300 dpi). The technique for the recognition presents the following steps: digitization, line sparation, word separation, segmentation of a word into characters, indentification of each character and finally recognition of the word.
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An omnifont open-vocabulary OCR system for English and Arabic
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999We present an omnifont, unlimited-vocabulary OCR system for English and Arabic. The system is based on hidden Markov models (HMM), an approach that has proven to be very successful in the area of automatic speech recognition. We focus on two aspects of the OCR system.
Issam Bazzi +2 more
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Improvements in hidden Markov model based Arabic OCR
2008 19th International Conference on Pattern Recognition, 2008This paper describes recent advances in hidden Markov model (HMM) based OCR for machine-printed arabic documents. A combination of script-independent and script-specific techniques are applied to glyph models and language models (LM). Script-independent techniques we applied are higher order n-gram LMs for N-best rescoring and discriminative estimation
Rohit Prasad +4 more
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Guide to OCR for Arabic Scripts
2012This Guide to OCR for Arabic Scripts is the first book of its kind, specifically devoted to this emerging field. Topics and features: contains contributions from the leading researchers in the field; with a Foreword by Professor Bente Maegaard of the University of Copenhagen; presents a detailed overview of Arabic character recognition technology ...
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Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage, 2019
Current OCR has limited capability for Arabic because of script models lacking scientific basis. We propose a new OCR strategy for Arabic, based on 1. Islamic script grammar including extended shaping and 2. treating Arabic script as a multi-layered writing system. We analyse Arabic script as an allographic rendering of graphemic abstractions. Grapheme
Thomas Milo, Alicia González Martínez
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Current OCR has limited capability for Arabic because of script models lacking scientific basis. We propose a new OCR strategy for Arabic, based on 1. Islamic script grammar including extended shaping and 2. treating Arabic script as a multi-layered writing system. We analyse Arabic script as an allographic rendering of graphemic abstractions. Grapheme
Thomas Milo, Alicia González Martínez
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Pre-processing Issues in Arabic OCR
2012Pre-processing of scanned documents is a necessary first step in the process cycle of any document processing application. While pre-processing methods are generally language independent, the effectiveness of downstream OCR processes can often be improved by language/script specific adaptations, particularly in the case of non-Latin scripts such as ...
Zhixin Shi +2 more
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ORAN: a basis for an Arabic OCR system
Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2004., 2005We present a system called ORAN (offline recognition of Arabic characters and numerals). This system is based on a method called modified MCR (minimum covering run) expression for document images. Using the correspondence between binary images and bipartite graphs, the MCR expression can be found by constructing a minimum covering or maximum matching ...
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A Spell Correction Model for OCR Errors for Arabic Text
2016This paper presents a new correction model for Arabic OCR errors. The proposed model is mainly based on the character segmentation and the character alignment on a single character or multi-characters. Results show that the multi-character model is better than the single character model in that it is trained on 502,167 words and can find the correct ...
Mariam Muhammad +3 more
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Preparing Persian/Arabic Scanned Images for OCR
2006 2nd International Conference on Information & Communication Technologies, 2006Digital documents are widely used today. So converting written documents such as books to digital documents is unavoidable. The most popular method for doing this is OCR. Usually documents are scanned and then scanned images are sent to OCR. Scanned images need some preprocessing in order to be used in OCR efficiently.
S. Shirali-Shahreza +2 more
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