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

被引：167

作者：

Amin, A ^{[1
]}

机构：

[1] Univ New S Wales, Sch Engn & Comp Sci, Sydney, NSW 2052, Australia

来源：

PATTERN RECOGNITION | 1998年 / 31卷 / 05期

关键词：

Arabic characters; off-line recognition; handwriting recognition; segmentation; feature extraction; neural network classifiers; hidden Markov models; optical character recognition;

D O I：

10.1016/S0031-3203(97)00084-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 characters because of the complexity of printed and handwritten text, and this problem is still an open research held. The main objective of this paper is to present the state of Arabic character recognition research throughout the last two decades. (C) 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

引用

页码：517 / 530

页数：14

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