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Segmentation of Characters from Old Typewritten Documents using Radon Transform

by Apurva A. Desai
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 37 - Number 9
Year of Publication: 2012
Authors: Apurva A. Desai
10.5120/4635-6683

Apurva A. Desai . Segmentation of Characters from Old Typewritten Documents using Radon Transform. International Journal of Computer Applications. 37, 9 ( January 2012), 10-15. DOI=10.5120/4635-6683

@article{ 10.5120/4635-6683,
author = { Apurva A. Desai },
title = { Segmentation of Characters from Old Typewritten Documents using Radon Transform },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 37 },
number = { 9 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 10-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume37/number9/4635-6683/ },
doi = { 10.5120/4635-6683 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:23:52.093568+05:30
%A Apurva A. Desai
%T Segmentation of Characters from Old Typewritten Documents using Radon Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 37
%N 9
%P 10-15
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Optical character recognition is a very challenging area. Many works have been done and still being done for many languages across the world. For many Indian languages too good amount of work has been done. However, Gujarati is a language for which hardly any work can be found. Gujarati has a rich literary heritage, and therefore it is important to preserve it for the next generation. In this paper an attempt has be done to segmenting out the words and characters from old typewritten Gujarati documents. Here an algorithm is presented which makes use of global threshold for converting scan RGB documents to blank and white documents. Noise removal has also been applied. Here Radon transform is utilized for skew detection. The novel concept of using Radon transform is presented here in this work. Here Radon transform is used for segmenting documents into lines and then vertical profiles has been used for further segmentation of lines in characters. At last this segmentation algorithm is also tested for the documents typewritten in Hindi. The algorithm presented here gives very good results.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Segmentation Radon transform skew correction digitization noise removal

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