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Reseach Article

Handwritten Character Recognition System using Chain code and Correlation Coefficient

Published on March 2012 by Ravi Sheth, N C Chauhan, Mahesh M Goyani, Kinjal A Mehta
International Conference on Recent Trends in Information Technology and Computer Science
Foundation of Computer Science USA
ICRTITCS - Number 2
March 2012
Authors: Ravi Sheth, N C Chauhan, Mahesh M Goyani, Kinjal A Mehta
7a7a1b48-158e-4378-b3cf-575253d0232a

Ravi Sheth, N C Chauhan, Mahesh M Goyani, Kinjal A Mehta . Handwritten Character Recognition System using Chain code and Correlation Coefficient. International Conference on Recent Trends in Information Technology and Computer Science. ICRTITCS, 2 (March 2012), 31-36.

@article{
author = { Ravi Sheth, N C Chauhan, Mahesh M Goyani, Kinjal A Mehta },
title = { Handwritten Character Recognition System using Chain code and Correlation Coefficient },
journal = { International Conference on Recent Trends in Information Technology and Computer Science },
issue_date = { March 2012 },
volume = { ICRTITCS },
number = { 2 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 31-36 },
numpages = 6,
url = { /proceedings/icrtitcs/number2/5183-1015/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Information Technology and Computer Science
%A Ravi Sheth
%A N C Chauhan
%A Mahesh M Goyani
%A Kinjal A Mehta
%T Handwritten Character Recognition System using Chain code and Correlation Coefficient
%J International Conference on Recent Trends in Information Technology and Computer Science
%@ 0975-8887
%V ICRTITCS
%N 2
%P 31-36
%D 2012
%I International Journal of Computer Applications
Abstract

Pattern recognition deals with categorization of input data into one of the given classes based on extraction of features. Handwritten Character Recognition (HCR) is one of the well-known applications of pattern recognition. For any recognition system, an important part is feature extraction. A proper feature extraction method can increase the recognition ratio. In this paper, a chain code based feature extraction method is investigated for developing HCR system. Chain code is working based on 4-neighborhood or 8–neighborhood methods. In this paper, 8–neighborhood method has been implemented which allows generation of eight different codes for each character. These codes have been used as features of the character image, which have been later on used for training and testing for Neural Network (NN) and Support Vector Machine (SVM) classifiers. In this work we have also implemented HCR system with the use of correlation coefficient. Comparison of all the methods for HCR systems are highlighted at the end.

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Index Terms

Computer Science
Information Sciences

Keywords

Pattern recognition handwritten character recognition feature extraction chain code correlation coefficient neural network support vector machine