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Reseach Article

Neural Networks for Handwritten English Alphabet Recognition

by Yusuf Perwej, Ashish Chaturvedi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 20 - Number 7
Year of Publication: 2011
Authors: Yusuf Perwej, Ashish Chaturvedi
10.5120/2449-2824

Yusuf Perwej, Ashish Chaturvedi . Neural Networks for Handwritten English Alphabet Recognition. International Journal of Computer Applications. 20, 7 ( April 2011), 1-5. DOI=10.5120/2449-2824

@article{ 10.5120/2449-2824,
author = { Yusuf Perwej, Ashish Chaturvedi },
title = { Neural Networks for Handwritten English Alphabet Recognition },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 20 },
number = { 7 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume20/number7/2449-2824/ },
doi = { 10.5120/2449-2824 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:07:07.219328+05:30
%A Yusuf Perwej
%A Ashish Chaturvedi
%T Neural Networks for Handwritten English Alphabet Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 20
%N 7
%P 1-5
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper demonstrates the use of neural networks for developing a system that can recognize hand-written English alphabets. In this system, each English alphabet is represented by binary values that are used as input to a simple feature extraction system, whose output is fed to our neural network system.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Neural network pattern recognition hand written character recognition