CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Identifying the Character by Applying PCA Method using Matlab

by P. Subbuthai, Azha Periasamy, S. Muruganand
journal cover thumbnail

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
  1. Miros?aw Miciak," Character Recognition Using Radon Transformation and Principal Component Analysis in Postal Applications", Proceedings of the International Multiconference on Computer Science and Information Technology, pp. 495 – 500.
  2. Yang Yang, Xuhui Gao, Guowei Yang a," Study the Method of Vehicle License Locating Based on Color Segmentation". Advanced in Control Engineering and Information Science, Procedia Engineering 15 (2011) 1324 – 1329.
  3. anish lazrus, siddhartha choubey, sinha g. r, "an efficient method of vehicle number plate detection and Recognition", International Journal of Machine Intelligence ISSN: 0975–2927 & E-ISSN: 0975–9166, Volume 3, Issue 3, 2011, pp-134-137.
  4. Dileep Kumar Patel, Tanmoy Som, Sushil Kumar Yadav, Manoj Kumar Singh, "Handwritten Character Recognition Using Multiresolution Technique and Euclidean Distance Metric", Journal of Signal and Information Processing, 2012, 3, 208-214.
  5. Velappa Ganapathy, and Kok Leong Liew," Handwritten Character Recognition Using Multiscale Neural Network Training Technique", World Academy of Science, Engineering and Technology 15 2008.
  6. J. T. Jolliffe, "principal componenet analysis",springer series in statistics,2nd ed,springer ,2002.
  7. k. kim," face recognition using principal componenet analysis",Dcs, university of Maryland,college park,usa 2003.
  8. Pramod Kumar Pandey, Yaduvir Singh, Sweta Tripathi, "Image Processing using Principle Component Analysis", International Journal of Computer Applications (0975 – 8887) Volume 15– No. 4, February 2011.
  9. Dileep Kumar Patel, Tanmoy Som, Sushil Kumar Yadav, Manoj Kumar Singh, "Handwritten Character Recognition Using Multiresolution Technique and Euclidean Distance Metric", Journal of Signal and Information Processing, 2012, 3, 208-214.
Index Terms

Computer Science
Information Sciences

Keywords

PCA Eigen value Euclidean distance

Powered by PhDFocusTM