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Malayalam Character Recognition using Singular Value Decomposition

by Anil R, Arjun Pradeep, Midhun E M, Manjusha K
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 92 - Number 12
Year of Publication: 2014
Authors: Anil R, Arjun Pradeep, Midhun E M, Manjusha K
10.5120/16059-5167

Anil R, Arjun Pradeep, Midhun E M, Manjusha K . Malayalam Character Recognition using Singular Value Decomposition. International Journal of Computer Applications. 92, 12 ( April 2014), 6-11. DOI=10.5120/16059-5167

@article{ 10.5120/16059-5167,
author = { Anil R, Arjun Pradeep, Midhun E M, Manjusha K },
title = { Malayalam Character Recognition using Singular Value Decomposition },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 92 },
number = { 12 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume92/number12/16059-5167/ },
doi = { 10.5120/16059-5167 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:14:06.658835+05:30
%A Anil R
%A Arjun Pradeep
%A Midhun E M
%A Manjusha K
%T Malayalam Character Recognition using Singular Value Decomposition
%J International Journal of Computer Applications
%@ 0975-8887
%V 92
%N 12
%P 6-11
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper provides a classification methodology of Malayalam characters segmented from scanned document images. Optical Character Recognition (OCR) is one of the successful area which has wide variety of applications related to pattern recognition. This paper describes segmented character recognition using Singular Value Decom- position (SVD). Euclidean distance measure is used for finding the nearest character class of the segmented character image during testing. For each character class, a resultant template is created from training character images using the proposed approach, which in turn reduces the comparisons required for classification. The result obtained from the experiment shows that this method provides an accuracy of 97%.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Optical Character Recognition (OCR) Singular Value Decomposition (SVD) Malayalam script recognition.

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