A new approach for on-line visual encoding and recognition of handwriting script by using neural network system

被引：0

作者：

Jouini, B ^{[1
]}

Kherallah, M ^{[1
]}

Alimi, AM ^{[1
]}

机构：

[1] Univ Sfax, Dept Elect Engn, ENIS, REGIM Res Grp Intelligent Machines, Sfax 3038, Tunisia

来源：

ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS, PROCEEDINGS | 2003年

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：

In this paper we have developed a prototype of lecture support system using PDA's, This lecture support system concern the fourth students. The extraction of parameters is based on the visual encoding gives 72% as a extraction rate. The originality of the on-line recognition method is in the vector of input of the neuronal network system. We developed database contains 50 000 Arabic words that 70% are used for learning the neural network system and 30% are used for testing the recognition system. The recognition rate obtained is 90%.

引用

页码：161 / 167

页数：7

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