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Article:Reconstruction of Oriya Alphabets Using Zernike Moments

by Jyotsnarani Tripathy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 8 - Number 8
Year of Publication: 2010
Authors: Jyotsnarani Tripathy
10.5120/1227-1785

Jyotsnarani Tripathy . Article:Reconstruction of Oriya Alphabets Using Zernike Moments. International Journal of Computer Applications. 8, 8 ( October 2010), 26-32. DOI=10.5120/1227-1785

@article{ 10.5120/1227-1785,
author = { Jyotsnarani Tripathy },
title = { Article:Reconstruction of Oriya Alphabets Using Zernike Moments },
journal = { International Journal of Computer Applications },
issue_date = { October 2010 },
volume = { 8 },
number = { 8 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 26-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume8/number8/1227-1785/ },
doi = { 10.5120/1227-1785 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:56:54.996311+05:30
%A Jyotsnarani Tripathy
%T Article:Reconstruction of Oriya Alphabets Using Zernike Moments
%J International Journal of Computer Applications
%@ 0975-8887
%V 8
%N 8
%P 26-32
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

There has been a significant amount of research in pattern recognition in different aspects of printed character based user interfaces including interactive design tools, ink beautification and printed character recognition. Optical Character recognition (OCR) systems have been effectively developed for the recognition of printed characters of non-Indian languages. Efforts are on the way for the development of efficient OCR system for Indian language especially for ORIYA. I present in this paper the reconstruction of the basic characters (vowels and consonants) in Oriya text, which can handle different font sizes and font types. Hu’s seven moments and Zernike moments have been progressively used to extract the features of ORIYA characters. When I reconstruct by taking the extracted features, due to certain difficulties in the Hu’s moments I can use the Zernike moments. The methodology can be extended for recognition of the ORIYA conjuncts too.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Orthogonal function Polynomial feature extraction Image reconstruction Invariant moment Optical character recognition

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