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Recognition of Handwritten Marathi Vowels using Zone based Symmetric Density Features

by C. H. Patil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 108 - Number 4
Year of Publication: 2014
Authors: C. H. Patil
10.5120/18896-0187

C. H. Patil . Recognition of Handwritten Marathi Vowels using Zone based Symmetric Density Features. International Journal of Computer Applications. 108, 4 ( December 2014), 1-6. DOI=10.5120/18896-0187

@article{ 10.5120/18896-0187,
author = { C. H. Patil },
title = { Recognition of Handwritten Marathi Vowels using Zone based Symmetric Density Features },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 108 },
number = { 4 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume108/number4/18896-0187/ },
doi = { 10.5120/18896-0187 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:42:04.539898+05:30
%A C. H. Patil
%T Recognition of Handwritten Marathi Vowels using Zone based Symmetric Density Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 108
%N 4
%P 1-6
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a zone based symmetric density feature is proposed to recognize Handwritten Marathi Vowels. Recognition of handwritten Marathi vowels is a challenging task due to their interclass structural similarities. This paper describes a method for recognition of handwritten Marathi vowels. Since a standard database does not exist for handwritten Marathi vowels, as a part of this work database of 2294 handwritten Marathi vowels was created. Pre-processing techniques are applied to remove noise and there zone based symmetric density features are extracted. According to the fivefold cross validation technique a maximum of 92. 91% recognition rate was achieved. The recognition rates were compared with those achieved by KNN and SVM classifiers.

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Index Terms

Computer Science
Information Sciences

Keywords

Handwritten Marathi Vowel Recognition OCR Zoning symmetric density Five fold

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