Handwriting Arabic character recognition Lenet using neural network
Author
Source
The International Arab Journal of Information Technology
Issue
Vol. 6, Issue 3 (31 Jul. 2009), pp.304-309, 6 p.
Publisher
Publication Date
2009-07-31
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
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.
American Psychological Association (APA)
al-Jawfi, Rashid. 2009. Handwriting Arabic character recognition Lenet using neural network. The International Arab Journal of Information Technology،Vol. 6, no. 3, pp.304-309.
https://search.emarefa.net/detail/BIM-10428
Modern Language Association (MLA)
al-Jawfi, Rashid. Handwriting Arabic character recognition Lenet using neural network. The International Arab Journal of Information Technology Vol. 6, no. 3 (Jul. 2009), pp.304-309.
https://search.emarefa.net/detail/BIM-10428
American Medical Association (AMA)
al-Jawfi, Rashid. Handwriting Arabic character recognition Lenet using neural network. The International Arab Journal of Information Technology. 2009. Vol. 6, no. 3, pp.304-309.
https://search.emarefa.net/detail/BIM-10428
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 308-309
Record ID
BIM-10428