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A Language Independent Characterization of Document Image Noise in Historical Scripts

by Sandhya.n, R. Krishnan, D. R. Ramesh Babu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 50 - Number 9
Year of Publication: 2012
Authors: Sandhya.n, R. Krishnan, D. R. Ramesh Babu
10.5120/7798-0915

Sandhya.n, R. Krishnan, D. R. Ramesh Babu . A Language Independent Characterization of Document Image Noise in Historical Scripts. International Journal of Computer Applications. 50, 9 ( July 2012), 11-18. DOI=10.5120/7798-0915

@article{ 10.5120/7798-0915,
author = { Sandhya.n, R. Krishnan, D. R. Ramesh Babu },
title = { A Language Independent Characterization of Document Image Noise in Historical Scripts },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 50 },
number = { 9 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 11-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume50/number9/7798-0915/ },
doi = { 10.5120/7798-0915 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:49:08.147601+05:30
%A Sandhya.n
%A R. Krishnan
%A D. R. Ramesh Babu
%T A Language Independent Characterization of Document Image Noise in Historical Scripts
%J International Journal of Computer Applications
%@ 0975-8887
%V 50
%N 9
%P 11-18
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digitization of historical documents helps preserve these documents. As these documents have existed for a long time, various types of noise creep in. In our paper we have analyzed the different types of noise that occur in printed and handwritten historical documents mainly based on Kannada (Kannada is a language used in Karnataka, a southern state in India) documents and created a taxonomy for the same. We have also characterized each noise type based on factors such as their source, their effect on characters and the associated challenges in character recognition. We have also catalogued the different noise detection, removal and restoration techniques that are reported in the literature for each of the prominent noise types, and identified areas relating to noise detection, removal for further research focus.

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Index Terms

Computer Science
Information Sciences

Keywords

optical character recognition global noise local noise

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