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Reseach Article

Document Image Binarization Techniques- A Review

by Tarnjot Kaur Gill
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 12
Year of Publication: 2014
Authors: Tarnjot Kaur Gill
10.5120/17232-7560

Tarnjot Kaur Gill . Document Image Binarization Techniques- A Review. International Journal of Computer Applications. 98, 12 ( July 2014), 1-4. DOI=10.5120/17232-7560

@article{ 10.5120/17232-7560,
author = { Tarnjot Kaur Gill },
title = { Document Image Binarization Techniques- A Review },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 12 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number12/17232-7560/ },
doi = { 10.5120/17232-7560 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:25:59.450383+05:30
%A Tarnjot Kaur Gill
%T Document Image Binarization Techniques- A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 12
%P 1-4
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image binarization is the procedure of parting of pixel values into dual collections, black as foreground and white as background. Thresholding has found to be a well-known technique used for binarization of document images. Thresholding is further divide into the global and local thresholding technique. In document with uniform contrast delivery of background and foreground, global thresholding is has found to be best technique. In degraded documents, where extensive background noise or difference in contrast and brightness exists i. e. there exists many pixels that cannot be effortlessly categorized as foreground or background. In such cases, local thresholding has significant over available techniques. The main objective of this paper is to evaluate the different image binarization techniques to find the gaps in existing techniques.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Document Image binarization Thresholding