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Kannada Handwritten Vowels Recognition based on Normalized Chain Code and Wavelet Filters

Published on February 2014 by B. V. Dhandra, Shashikala Parameshwarapa, Gururaj Mukarambi
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National Conference on Recent Advances in Information Technology
Foundation of Computer Science USA
NCRAIT - Number 4
February 2014
Authors: B. V. Dhandra, Shashikala Parameshwarapa, Gururaj Mukarambi
1306c250-4120-4c1f-a2a9-98d4ff0c36bb

B. V. Dhandra, Shashikala Parameshwarapa, Gururaj Mukarambi . Kannada Handwritten Vowels Recognition based on Normalized Chain Code and Wavelet Filters. National Conference on Recent Advances in Information Technology. NCRAIT, 4 (February 2014), 21-24.

@article{
author = { B. V. Dhandra, Shashikala Parameshwarapa, Gururaj Mukarambi },
title = { Kannada Handwritten Vowels Recognition based on Normalized Chain Code and Wavelet Filters },
journal = { National Conference on Recent Advances in Information Technology },
issue_date = { February 2014 },
volume = { NCRAIT },
number = { 4 },
month = { February },
year = { 2014 },
issn = 0975-8887,
pages = { 21-24 },
numpages = 4,
url = { /proceedings/ncrait/number4/15164-1433/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Advances in Information Technology
%A B. V. Dhandra
%A Shashikala Parameshwarapa
%A Gururaj Mukarambi
%T Kannada Handwritten Vowels Recognition based on Normalized Chain Code and Wavelet Filters
%J National Conference on Recent Advances in Information Technology
%@ 0975-8887
%V NCRAIT
%N 4
%P 21-24
%D 2014
%I International Journal of Computer Applications
Abstract

In this paper, an algorithm is designed to recognize the handwritten Kannada vowels based on shape features such as normalized chain codes and wavelet filters. A normalized chain code and wavelet decomposition co-efficients are extracted as a feature vector of size 22 from the normalized binary images of size 40x40 and KNN classifier is applied for classification of vowels. A sample of 1400 Kannada vowels image are used for experiment. The average recognition accuracy of the proposed algorithm is 95. 07% for Kannada vowels.

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Index Terms

Computer Science
Information Sciences

Keywords

Ocr Normalized Chain Code Wavelet Transform Knn Classifier.