Printed Thai character recognition using the hybrid approach

被引：0

作者：

Thammano, A ^{[1
]}

Ruxpakawong, P ^{[1
]}

机构：

[1] Kings Mongkuts Inst Technol Ladkrbang, Fac Informat Technol, Bangkok, Thailand

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2002年 / E85A卷 / 06期

关键词：

character recognition; hybrid approach; structural methods; neural network; fuzzy membership function;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Many researches have been conducted on the recognition of Thai characters. Different approaches, such as neural network, syntactic, and structural methods, have been proposed. However, the success in recognizing Thai characters is still limited, compared to English characters. This paper proposes an approach to recognize the printed Thai characters using the hybrid of global feature, local features, fuzzy membership function and the neural network. The global feature classifies all characters into seven main groups. Then the local features and the neural network are applied to identify the characters.

引用

页码：1236 / 1241

页数：6

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