History Document Image Background Noise and Removal Methods

Authors

  • Ganchimeg .Ganbold School of E-Open Institute of The Mongolian University of Science and Technology

Keywords:

Binarization, History Document Noise, Noise Removal Algorithms

Abstract

It is common for archive libraries to provide public access to historical and ancient document image collections. It is common for such document images to require specialized processing in order to remove background noise and become more legible. Document images may be contaminated with noise during transmission, scanning or conversion to digital form. We can categorize noises by identifying their features and can search for similar patterns in a document image to choose appropriate methods for their removal. In this paper, we propose a hybrid binarization approach for improving the quality of old documents using a combination of global and local thresholding. This article also reviews noises that might appear in scanned document images and discusses some noise removal methods.

URL: http://ijkcdt.net/xml/05531/05531.pdf

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Published

2015-12-31

How to Cite

.Ganbold, G. (2015). History Document Image Background Noise and Removal Methods. International Journal of Knowledge Content Development & Technology, 5(2). Retrieved from https://journals.sfu.ca/ijkcdt/index.php/ijkcdt/article/view/59

Issue

Vol. 5 No. 2 (2015)

Section

Articles

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Copyright (c) 2015 International Journal of Knowledge Content Development & Technology

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