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Handwritten Malayalam Character Recognition using Curvelet Transform and ANN

by Manju Manuel, Saidas S. R
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 6
Year of Publication: 2015
Authors: Manju Manuel, Saidas S. R
10.5120/21544-4559

Manju Manuel, Saidas S. R . Handwritten Malayalam Character Recognition using Curvelet Transform and ANN. International Journal of Computer Applications. 121, 6 ( July 2015), 24-31. DOI=10.5120/21544-4559

@article{ 10.5120/21544-4559,
author = { Manju Manuel, Saidas S. R },
title = { Handwritten Malayalam Character Recognition using Curvelet Transform and ANN },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 6 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number6/21544-4559/ },
doi = { 10.5120/21544-4559 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:07:43.956401+05:30
%A Manju Manuel
%A Saidas S. R
%T Handwritten Malayalam Character Recognition using Curvelet Transform and ANN
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 6
%P 24-31
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Malayalam, the official language of Kerala, a southern state of India has been accorded the honour of language of eminence. Hence the researches in recognition and related works in Malayalam language is gaining more prominence in the current scenario. This paper proposes the use of Curvelet transform and neural network for the recognition of handwritten Malayalam character. Curvelet transform is to be used in the feature extraction stage and neural network for classification. Curvelet transform provides a compact representation for curved singularities and is well suited for malayalam language. Two different back propagation algorithms had been employed and the performance is compared on varying architecture. The promising feature of the work is successful classification of 53 characters which is an improvement over the existing works. Application of character recognition include sorting of bank cheques and postal letters, reading aid for blind, data compression etc. Besides, an automated tool with graphical user interface in MATLAB has been developed for Malayalam character recognition.

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Index Terms

Computer Science
Information Sciences

Keywords

Malayalam Character Recognition Artificial Neural Network (ANN) Curvelet Transform Handwritten.

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