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Reseach Article

Application of Neural Networks in Character Recognition

by V. Kalaichelvi, Ahammed Shamir Ali
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 12
Year of Publication: 2012
Authors: V. Kalaichelvi, Ahammed Shamir Ali
10.5120/8251-1770

V. Kalaichelvi, Ahammed Shamir Ali . Application of Neural Networks in Character Recognition. International Journal of Computer Applications. 52, 12 ( August 2012), 1-6. DOI=10.5120/8251-1770

@article{ 10.5120/8251-1770,
author = { V. Kalaichelvi, Ahammed Shamir Ali },
title = { Application of Neural Networks in Character Recognition },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 12 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number12/8251-1770/ },
doi = { 10.5120/8251-1770 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:02.580418+05:30
%A V. Kalaichelvi
%A Ahammed Shamir Ali
%T Application of Neural Networks in Character Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 12
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the recent advances in the computing technology, many recognition tasks have become automated. Character Recognition maps a matrix of pixels into characters and words. Recently, artificial neural network theories have shown good capabilities in performing character recognition. In this paper, the application of neural networks in recognizing characters from a printed script is explored. Contrast to traditional methods of generalizing the character set, a highly specific character set is trained for each type. This can be termed as targeted character recognition.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Neural Networks Character Recognition Back Propagation