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A fast recognition system for isolated arabic characters
Proceedings Sixth International Conference on Information Visualisation, 2003This paper presents a very fast multi-stage algorithm for the recognition of non-Latin script. Although the examples use Arabic script, the system could be adapted in minutes to deal with any character set, in particular non-Latin characters where no commercial OCR systems are available.
John R. Cowell, Fiaz Hussain
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Arabic Character Recognition Using Gabor Filters
2009A technique for the Automatic recognition of Arabic characters using Gabor filters is presented. K-Nearest Neighbor (KNN) is used for classification. Although KNN is a simple classifier, the achieved recognition rates proved that Gabor filters are effective in the classification of Arabic characters.
Hamdi A. Al-Jamimi, Sabri A. Mahmoud
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Recognition Of Hand Written Arabic Characters
SPIE Proceedings, 1988This paper introduces a novel statistical approach for recognizing handwritten Arabic characters. The proposed method involves, as a first step, digitization of the segmented character. The secondary characters are then isolated and identified separately thereby reducing the recognition issue to a 20 class problem.
H. Al -Yousefi, S. S. Udpa
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Off line Arabic character recognition: a survey
Proceedings of the Fourth International Conference on Document Analysis and Recognition, 2002Machine simulation of human reading has been the subject of intensive research for almost three decades. A large number of research papers and reports have already been published on Latin, Chinese and Japanese characters. However, little work has been conducted on the automatic recognition of Arabic characters because of the complexity of printed and ...
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Automatic recognition of isolated Arabic characters
Signal Processing, 1988Abstract In this paper, a recognition system has been developed for the recognition of isolated typewritten Arabic characters. The outer contour of each character is traced using a contour-following algorithm that leads to 8-connected contours. A set of Fourier descriptors is obtained from the coordinate sequences of the contour points.
Talaat S El-Sheikh, Ramez M Guindi
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Radon transformation for Arabic character recognition
2008 International Conference on Computer and Communication Engineering, 2008In this paper an algorithm adopted the properties given by Radon transformation studied to be used by an optical character recognition system for printed Arabic characters. The algorithm gets a high difference between the character features which was extracted by Radon transformation, when it was applied on isolated Arabic characters.
Eman Abdulaziz, Khalil I. Alsaif
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Towards the on-line recognition of Arabic characters
Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290), 2003A generic system is proposed for the recognition of online handwritten Arabic characters. Automatic extraction of features from online data using self-organizing maps (SOMs) avoids heuristic extraction of features. The performance of a perceptron classifier is competitive with MLP (multilayer perceptron) and genetic programming-based approaches and is ...
T.J. Klassen, M.I. Heywood
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Off-Line Arabic Character Recognition – A Review
Pattern Analysis & Applications, 2002Off-line recognition requires transferring the text under consideration into an image file. This represents the only available solution to bring the printed materials to the electronic media. However, the transferring process causes the system to lose the temporal information of that text.
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An Evaluation of Methods for Arabic Character Recognition
International Journal of Signal Processing, Image Processing and Pattern Recognition, 2014Off-line recognition of text plays a significant role in several applications such as the automatic sorting of postal mail or editing old documents. The recognition of Arabic handwriting characters is a difficult task owing to the similar appearance of some different characters. Most researchers have presented methods that recognise isolated characters.
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Guided classification for Arabic Characters handwritten Recognition
2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA), 2022Walid Fakhet +2 more
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