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Document Image Binarization Techniques, Developments and Related Issues: A Review

by Rashmi Saini
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 7
Year of Publication: 2015
Authors: Rashmi Saini
10.5120/20352-2541

Rashmi Saini . Document Image Binarization Techniques, Developments and Related Issues: A Review. International Journal of Computer Applications. 116, 7 ( April 2015), 41-44. DOI=10.5120/20352-2541

@article{ 10.5120/20352-2541,
author = { Rashmi Saini },
title = { Document Image Binarization Techniques, Developments and Related Issues: A Review },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 7 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 41-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number7/20352-2541/ },
doi = { 10.5120/20352-2541 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:56:30.480917+05:30
%A Rashmi Saini
%T Document Image Binarization Techniques, Developments and Related Issues: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 7
%P 41-44
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image binarization is still a relevant research area due to its wide range of applications in the field of document analysis and recognition. Accuracy of binarization methods affected by many factors such as shadows non-uniform illumination, low contrast, large signal-dependent noise etc. This paper provides a comprehensive survey of major binarization techniques. We also emphasis on the problems being encountered and the related issues in the research area of document image binarization. In addition, some important issues affecting the performance of image binarization methods are also discussed. This literature review suggests that designing a suitable document image binarization method is a prerequisite for a successful document image analysis and recognition.

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Index Terms

Computer Science
Information Sciences

Keywords

Image binarization Thresholding Segmentation Optical Character Recognition(OCR).

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