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Reseach Article

Detection of Bold and Italic Character in Devanagari Script

by Ravi Kant Yadav, Bireshwar Dass Mazumdar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 2
Year of Publication: 2012
Authors: Ravi Kant Yadav, Bireshwar Dass Mazumdar
10.5120/4792-7037

Ravi Kant Yadav, Bireshwar Dass Mazumdar . Detection of Bold and Italic Character in Devanagari Script. International Journal of Computer Applications. 39, 2 ( February 2012), 19-22. DOI=10.5120/4792-7037

@article{ 10.5120/4792-7037,
author = { Ravi Kant Yadav, Bireshwar Dass Mazumdar },
title = { Detection of Bold and Italic Character in Devanagari Script },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 2 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number2/4792-7037/ },
doi = { 10.5120/4792-7037 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:25:23.403446+05:30
%A Ravi Kant Yadav
%A Bireshwar Dass Mazumdar
%T Detection of Bold and Italic Character in Devanagari Script
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 2
%P 19-22
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Only a few works has been done for printed devanagari text in the area of optical character recognition. In this paper there is describing about a simple and fast algorithm for detection of italic and bold character in Devanagari script, without recognition of actual character. Here present an automatic information which tells us about the font type phase in the way of weight and slope. The process of identification and classification of italic and bold character can be used for making an accuracy of the text recognition system in the OCR. This simple and fast algorithm gives high accuracy and very easy to implement.

References
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Index Terms

Computer Science
Information Sciences

Keywords

OCR Font type phase Binarization Pixels Noise