Off-line Arabic character recognition: the state of the art

Machine 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...

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Bibliographic Details
Published in:	Pattern recognition Vol. 31; no. 5; pp. 517 - 530
Main Author:	Amin, Adnan
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.05.1998 Elsevier Science
Subjects:	Algorithmics. Computability. Computer arithmetics Applied sciences Arabic characters Artificial intelligence Computer science; control theory; systems Exact sciences and technology Feature extraction Handwriting recognition Hidden Markov Models Neural Network classifiers Off-line recognition Optical character recognition Pattern recognition. Digital image processing. Computational geometry Problem solving, game playing Segmentation Theoretical computing Handwriting recognition Off-line recognition Segmentation Optical character recognition Neural Network classifiers Feature extraction Hidden Markov Models Arabic characters Markov chain Arabic Classification Pattern recognition Neural network Manuscript character Learning algorithm Pattern extraction
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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