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Complex Background and Foreground Extraction in Color Document Images using Interval Type-2 Fuzzy

by P.Murugeswari, Dr.D.Manimegalai
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 25 - Number 2
Year of Publication: 2011
Authors: P.Murugeswari, Dr.D.Manimegalai
10.5120/3006-4054

P.Murugeswari, Dr.D.Manimegalai . Complex Background and Foreground Extraction in Color Document Images using Interval Type-2 Fuzzy. International Journal of Computer Applications. 25, 2 ( July 2011), 6-9. DOI=10.5120/3006-4054

@article{ 10.5120/3006-4054,
author = { P.Murugeswari, Dr.D.Manimegalai },
title = { Complex Background and Foreground Extraction in Color Document Images using Interval Type-2 Fuzzy },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 25 },
number = { 2 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume25/number2/3006-4054/ },
doi = { 10.5120/3006-4054 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:42.230351+05:30
%A P.Murugeswari
%A Dr.D.Manimegalai
%T Complex Background and Foreground Extraction in Color Document Images using Interval Type-2 Fuzzy
%J International Journal of Computer Applications
%@ 0975-8887
%V 25
%N 2
%P 6-9
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper deals with the problem of extracting the text information from complex ground from color document images. Developing general framework for separating the foreground text and background information from complex document image is still a challenging problem because of its high unpredictability and complexity. In this paper a new interval type-2 fuzzy based thresholding method is proposed for processing color document images. The proposed method is experimented with varying background of multiple colors and texture and foreground text in any color, font, size and orientation. Experimental results show that the performance of the proposed approach is better than the existing ones.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Document image preprocessing Interval type-2 fuzzy thresholding binarization

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