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Reseach Article

Segmentation of Text Lines and Characters in Ancient Tamil Script Documents using Computational Intelligence Techniques

by N. Sridevi, P. Subashini
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 14
Year of Publication: 2012
Authors: N. Sridevi, P. Subashini
10.5120/8268-1826

N. Sridevi, P. Subashini . Segmentation of Text Lines and Characters in Ancient Tamil Script Documents using Computational Intelligence Techniques. International Journal of Computer Applications. 52, 14 ( August 2012), 7-12. DOI=10.5120/8268-1826

@article{ 10.5120/8268-1826,
author = { N. Sridevi, P. Subashini },
title = { Segmentation of Text Lines and Characters in Ancient Tamil Script Documents using Computational Intelligence Techniques },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 14 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number14/8268-1826/ },
doi = { 10.5120/8268-1826 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:12.515168+05:30
%A N. Sridevi
%A P. Subashini
%T Segmentation of Text Lines and Characters in Ancient Tamil Script Documents using Computational Intelligence Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 14
%P 7-12
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Document image segmentation is one of the critical phases in handwritten character recognition system. Correct segmentation of individual characters decides the accuracy of the recognition system. It is used to decompose the sequence of characters into individual characters to segmenting text lines and then words. Ancient Tamil scripts documents consist of vowels, consonants and various modifiers. Hence proper segmentation algorithm is required. In existing methods, segmentation of overlapping lines and characters are difficult. In order to overcome this problem, two methods are proposed one for line segmentation and another for character segmentation, first method uses projection profile and PSO for line segmentation. In second method combination of connected components along with nearest neighborhood methods are used to segment the characters. Experimental results show that these methods give better results when compared to other methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Character segmentation Projection profile connected components nearest neighborhood PSO