A fuzzy classification based system for handwritten character recognition

被引：0
|
作者：
Frosini, G [1 ]
Lazzerini, B [1 ]
Maggiore, A [1 ]
Marcelloni, F [1 ]
机构：
[1] Univ Pisa, Dipartimento Ingn Informaz, I-56126 Pisa, Italy
来源：
1998 SECOND INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED INTELLIGENT ELECTRONIC SYSTEMS, KES '98, PROCEEDINGS, VOL, 3 | 1998年
关键词：
fuzzy model; off-line handwriting recognition;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of this paper is to present a fuzzy method for classification and recognition of separated handwritten characters. Linguistic expressions describing the individual characters are derived from a fuzzy model of a set of character samples. A small scale application of the method in which 26 lower-case cursive characters written by 30 different writers were analysed yielded 64% recognition rate. The method was also used to implement a character recogniser in a system for off-line recognition of cursive handwriting. In such a context, thanks to the use of a dictionary and a grammar parser, the recognition rate (at character level) rose to 96%.
引用
收藏
页码：61 / 65
页数：5
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