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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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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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Omnifont and unlimited-vocabulary OCR for English and Arabic
Proceedings of the Fourth International Conference on Document Analysis and Recognition, 2002The authors present a set of techniques for omnifont, unlimited-vocabulary OCR, within the context of a system based on hidden Markov models (HMM). First, they address the issue of how to perform OCR on omnifont and multi-style data, such as plain and italic, without the need to have a separate model for each style.
I. Bazzi +4 more
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An Enhanced Arabic OCR Degraded Text Retrieval Model
2013This paper provides a new model enhancing the Arabic OCR degraded text retrieval effectiveness. The proposed model based on simulating the Arabic OCR recognition mistakes on a word based approach. Then the model expands the user search query using the expected OCR errors.
Mostafa Ezzat +2 more
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Neural Networks Pipeline for Offline Machine Printed Arabic OCR
Neural Processing Letters, 2017In the context of Arabic optical characters recognition, Arabic poses more challenges because of its cursive nature. We purpose a system for recognizing a document containing Arabic text, using a pipeline of three neural networks. The first network model predicts the font size of an Arabic word, then the word is normalized to an 18pt font size that ...
Mohamed A. Radwan +2 more
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MOrpho-LEXical analysis for correcting OCR-generated Arabic words (MOLEX)
Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition, 2003In this paper we present a contextual-based method for correcting Arabic words generated by OCR systems. This technique operates as a post-processor and it wants to be universal. It corrects substitution and rejection errors. The Arabic language properties are very useful in morpho-lexical analysis and therefore they are strongly exploited in the ...
T. Sari, M. Sellami
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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.
I. Bazzi, R. Schwartz, J. Makhoul
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A Serial Combination of Neural Network for Arabic OCR
2014Today, handwriting recognition is one of the most challenging tasks and exciting areas of search in computer science. Indeed, despite the growing interest in this field, no satisfactory solution is available. For this reason Multiple Classifier Systems (MCS) based on the combination of outputs of a set of different classifiers have been proposed as a ...
Leila Chergui, Maamar Kef
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ALNASIKH: An Arabic OCR System Based on Transformers
2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 2023Ahmad Mortadi +6 more
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Arabic Optical Character Recognition (OCR) Evaluation in Order to Develop a Post-OCR Module
2011Abstract : Optical character recognition (OCR) is the process of converting an image of a document into text. While progress in OCR research has enabled low error rates for English text in low-noise images, performance is still poor for noisy images and documents in other languages.
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