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Article:Segmentation of Printed Text in Devanagari Script and Gurmukhi Script

by Vijay Kumar, Pankaj K. Sengar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Number 8
Year of Publication: 2010
Authors: Vijay Kumar, Pankaj K. Sengar
10.5120/749-1058

Vijay Kumar, Pankaj K. Sengar . Article:Segmentation of Printed Text in Devanagari Script and Gurmukhi Script. International Journal of Computer Applications. 3, 8 ( June 2010), 30-33. DOI=10.5120/749-1058

@article{ 10.5120/749-1058,
author = { Vijay Kumar, Pankaj K. Sengar },
title = { Article:Segmentation of Printed Text in Devanagari Script and Gurmukhi Script },
journal = { International Journal of Computer Applications },
issue_date = { June 2010 },
volume = { 3 },
number = { 8 },
month = { June },
year = { 2010 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume3/number8/749-1058/ },
doi = { 10.5120/749-1058 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:51:24.232662+05:30
%A Vijay Kumar
%A Pankaj K. Sengar
%T Article:Segmentation of Printed Text in Devanagari Script and Gurmukhi Script
%J International Journal of Computer Applications
%@ 0975-8887
%V 3
%N 8
%P 30-33
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we describe the line, word, character and top character segmentation for printed Hindi text in Devanagari script. And also describe the line and word segmentation for printed text in Gurmukhi script. A performance of 100% at line level, approximately 100% at word level, 99% at character level, and 97% at top character level for Devanagari script and performance of 100% at line level and 99% at word level for Gurmukhi script is obtained. Here we have observed the performance of segmentation with the help of five documents in devanagari script and five document in gurmukhi script.

References
Index Terms

Computer Science
Information Sciences

Keywords

Optical character recognition Character Segmentation Middle Zone Upper Zone Lower Zone line word character top character

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