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Reseach Article

Document Image Binarization Technique for Degraded Document Images

by Supriya Lokhande, N.a.dawande
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 22
Year of Publication: 2015
Authors: Supriya Lokhande, N.a.dawande
10.5120/21858-5183

Supriya Lokhande, N.a.dawande . Document Image Binarization Technique for Degraded Document Images. International Journal of Computer Applications. 122, 22 ( July 2015), 22-29. DOI=10.5120/21858-5183

@article{ 10.5120/21858-5183,
author = { Supriya Lokhande, N.a.dawande },
title = { Document Image Binarization Technique for Degraded Document Images },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 22 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 22-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number22/21858-5183/ },
doi = { 10.5120/21858-5183 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:11:14.820125+05:30
%A Supriya Lokhande
%A N.a.dawande
%T Document Image Binarization Technique for Degraded Document Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 22
%P 22-29
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Document image binarization is a vital pre-processing technique for document image analysis that segments text from badly degraded document images. In this paper, we propose a robust document image binarization technique that is based on the concept of adaptive image contrast. The adaptive image contrast which is formed by combining local image contrast and the local image gradient makes it tolerant to text and background variation caused by different types of document degradations. In the proposed technique the adaptive contrast map is binarized and text stroke edge pixels are detected using Canny's algorithm. The document text is further segmented by a local threshold that is assessed in light of the intensities of detected text stroke edge pixels within a local window. The above mentioned process has been rehashed by combining adaptive image contrast with Sobel's Edge detection technique and Total Variation Edge Detection technique respectively A comparison between these techniques is then made on the basis of Peak-signal to Noise Ratio and Mean Square Error values. These methods have been tested on images suffering from different types of degradations . It has been found out that adaptive image contrast used with Canny's edge detection technique gives the best results.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive image contrast document image processing degraded document image binarization.