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Kannada Handwritten Vowels Recognition based on Normalized Chain Code and Wavelet Filters
IJCA Proceedings on National Conference on Recent Advances in Information Technology
© 2014 by IJCA Journal
NCRAIT - Number 4
Year of Publication: 2014
B V Dhandra, Shashikala Parameshwarapa and Gururaj Mukarambi. Article: Kannada Handwritten Vowels Recognition based on Normalized Chain Code and Wavelet Filters. IJCA Proceedings on National Conference on Recent Advances in Information Technology NCRAIT(4):21-24, February 2014. Full text available. BibTeX
@article{key:article,
author = {B. V. Dhandra and Shashikala Parameshwarapa and Gururaj Mukarambi},
title = {Article: Kannada Handwritten Vowels Recognition based on Normalized Chain Code and Wavelet Filters},
journal = {IJCA Proceedings on National Conference on Recent Advances in Information Technology},
year = {2014},
volume = {NCRAIT},
number = {4},
pages = {21-24},
month = {February},
note = {Full text available}
}
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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