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

• 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

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...