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

页码：831 / 834

页数：4

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