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Identifying the Character by Applying PCA Method using Matlab

by P. Subbuthai, Azha Periasamy, S. Muruganand
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 1
Year of Publication: 2012
Authors: P. Subbuthai, Azha Periasamy, S. Muruganand
10.5120/9655-4074

P. Subbuthai, Azha Periasamy, S. Muruganand . Identifying the Character by Applying PCA Method using Matlab. International Journal of Computer Applications. 60, 1 ( December 2012), 8-11. DOI=10.5120/9655-4074

@article{ 10.5120/9655-4074,
author = { P. Subbuthai, Azha Periasamy, S. Muruganand },
title = { Identifying the Character by Applying PCA Method using Matlab },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 1 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number1/9655-4074/ },
doi = { 10.5120/9655-4074 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:05:28.950636+05:30
%A P. Subbuthai
%A Azha Periasamy
%A S. Muruganand
%T Identifying the Character by Applying PCA Method using Matlab
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 1
%P 8-11
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Optical character recognition is getting more and more useful in daily life for various purposes. The aim of the paper is to find the number and English alphabets in the symbol of times new roman, arial, arial block size of 72, 48. Many researches have been done on many types of characters by using different approaches. In this recognition system was implemented by using of principal component analysis (PCA) algorithm. This algorithm is based on an Eigen value and Euclidean distance. PCA is practical and standard statistical tool in modern data analysis that has found application in different areas such as face recognition, image compression, and neuroscience.

References
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Index Terms

Computer Science
Information Sciences

Keywords

PCA Eigen value Euclidean distance

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