Recognition of hand-printed characters based on structural description and inductive logic programming

被引:26
作者
Amin, A [1 ]
机构
[1] Univ New S Wales, Sch Comp Sci & Engn, Sydney, NSW 2052, Australia
关键词
pattern recognition; Arabic characters; hand-printed characters; parallel thinning; feature extraction; structural classification; inductive logic programming;
D O I
10.1016/j.patrec.2003.08.004
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Character recognition systems can contribute tremendously to the advancement of the automation process and can improve the interaction between man and machine in many applications, including office automation, cheque verification and a large variety of banking, business and data entry applications. The main theme of this paper is the automatic recognition of hand-printed Arabic characters using machine learning. Conventional methods have relied on hand-constructed dictionaries which are tedious to construct and difficult to make tolerant to variation in writing styles. The advantages of machine learning are that it can generalize over the large degree of variation between writing styles and recognition rules can be constructed by example. The system was tested on a sample of handwritten characters from several individuals whose writing ranged from acceptable to poor in quality and the average correct recognitions rate obtained using cross-validation was 86.65%. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:3187 / 3196
页数:10
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