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%.
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页码：161 / 167
页数：7
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