Recognition of handwritten characters by means of artificial neural networks

被引：0
|
作者：
Zabavin, NS [1 ]
Kuznetsova, MD [1 ]
Luk'yanitsa, AA [1 ]
Torshin, AD [1 ]
Fedchenko, VS [1 ]
机构：
[1] Tech Univ, Moscow Inst Aviat, Moscow 125080, Russia
来源：
JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL | 1999年 / 38卷 / 05期
关键词：
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：
Neural networks with various architectures are considered from the standpoint of their ability to recognize a handwritten cyrillic text. Various approaches to the extraction of characteristic features are analyzed. On the basis of a large number of experiments, the conclusion is made that neural networks provide a promising basis of optical character recognition systems.
引用
收藏
页码：831 / 834
页数：4
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