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Review of Robust Document Image BINARIZATION Technique for Degraded Document Images

Published on August 2015 by Rupinder Kaur, Naveen Goyal
International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 11
August 2015
Authors: Rupinder Kaur, Naveen Goyal
1d59a5f0-746c-4a8d-8e5a-9953b168d1e2

Rupinder Kaur, Naveen Goyal . Review of Robust Document Image BINARIZATION Technique for Degraded Document Images. International Conference on Advancements in Engineering and Technology. ICAET2015, 11 (August 2015), 19-21.

@article{
author = { Rupinder Kaur, Naveen Goyal },
title = { Review of Robust Document Image BINARIZATION Technique for Degraded Document Images },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 11 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 19-21 },
numpages = 3,
url = { /proceedings/icaet2015/number11/22283-4157/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology
%A Rupinder Kaur
%A Naveen Goyal
%T Review of Robust Document Image BINARIZATION Technique for Degraded Document Images
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 11
%P 19-21
%D 2015
%I International Journal of Computer Applications
Abstract

Segmentation of badly degraded document images is done for discriminating a text from background images but it is a very challenging task. So, to make a robust document images, till now many binarization techniques are used. But in existing binarization techniques thresholding and filtering is unsolved problem. In the existing method, an Adaptive contrast map is first constructed then binarized and combined with cannny edge map to identify text stroke edge pixels, the documented is further segmented by local threshold . So the existing methods are divided into four main steps out of which last two steps used two different algorithms. In the proposed method, we can modify algorithms and test degraded document images then compare the result that come from previous paper results.

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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Binarization Techniques Document Segmentation Image Processing Denoising.