Handwriting Arabic Character Recognition LeNet Using Neural Network

被引：0
|
作者：
Al-Jawfi, Rashad [1 ]
机构：
[1] Ibb Univ, Dept Math & Comp Sci, Ibb, Yemen
来源：
INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY | 2009年 / 6卷 / 03期
关键词：
Arabic character recognition; neural network; LeNet;
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：
Character recognition has served as one of the principal proving grounds for neural network methods and has emerged as one of the most successful applications of this technology. In this paper, a new network is designed to recognize a set of handwritten arabic characters. This new network consists of two stages. The first is to recognize the main shape of the character, and the second stage is for dots recognition. Also, the characteristics, structure, and the training algorithm for the network are presented.
引用
收藏
页码：304 / 309
页数：6
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