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Isolated Handwritten Kannada Consonants Recognition using Discrete Curvelet Transform

by B.v. Dhandra, Shashikala Parameshwarppa, Gururaj Mukarambi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 5
Year of Publication: 2014
Authors: B.v. Dhandra, Shashikala Parameshwarppa, Gururaj Mukarambi
10.5120/18516-9603

B.v. Dhandra, Shashikala Parameshwarppa, Gururaj Mukarambi . Isolated Handwritten Kannada Consonants Recognition using Discrete Curvelet Transform. International Journal of Computer Applications. 106, 5 ( November 2014), 18-22. DOI=10.5120/18516-9603

@article{ 10.5120/18516-9603,
author = { B.v. Dhandra, Shashikala Parameshwarppa, Gururaj Mukarambi },
title = { Isolated Handwritten Kannada Consonants Recognition using Discrete Curvelet Transform },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 5 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 18-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number5/18516-9603/ },
doi = { 10.5120/18516-9603 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:36.369247+05:30
%A B.v. Dhandra
%A Shashikala Parameshwarppa
%A Gururaj Mukarambi
%T Isolated Handwritten Kannada Consonants Recognition using Discrete Curvelet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 5
%P 18-22
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, an attempt is made to develop an algorithm for the recognition of handwritten Kannada consonants characters using Second Generation Discrete Curvelet Transform (DCTG2). Images are made noise free by using median filter and images are normalized into 64x64 pixels. Curvelet transform with different scales are applied to the input images to generate the curvelet coefficients. Then the Standard deviation are computed for the curvelet coefficients to form feature vector of size 20 and KNN classifier with two fold cross validation is used for the recognition of handwritten Kannada consonants. A sample of 200 images is collected for each of the 34 consonant characters amounting to 6800 sample images. The experiment is carried out for the proposed algorithm on 6800 samples collected. The average recognition accuracy of 92. 56 % is obtained and compared with other existing system and found to be an efficient algorithm with respect to feature size. The proposed algorithm is independent of the thinning and skew of the characters.

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Index Terms

Computer Science
Information Sciences

Keywords

Kannada character Recognition Curvelets Standard deviation KNN classifier.

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