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An Adaptive Method for Physical Documents Digitization based on Global Energy Function Parameter

by Ajay Kumar Pal, Yogendra Kumar Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 17
Year of Publication: 2015
Authors: Ajay Kumar Pal, Yogendra Kumar Jain
10.5120/20838-3561

Ajay Kumar Pal, Yogendra Kumar Jain . An Adaptive Method for Physical Documents Digitization based on Global Energy Function Parameter. International Journal of Computer Applications. 118, 17 ( May 2015), 25-32. DOI=10.5120/20838-3561

@article{ 10.5120/20838-3561,
author = { Ajay Kumar Pal, Yogendra Kumar Jain },
title = { An Adaptive Method for Physical Documents Digitization based on Global Energy Function Parameter },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 17 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 25-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number17/20838-3561/ },
doi = { 10.5120/20838-3561 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:02:48.156562+05:30
%A Ajay Kumar Pal
%A Yogendra Kumar Jain
%T An Adaptive Method for Physical Documents Digitization based on Global Energy Function Parameter
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 17
%P 25-32
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The first step of physical document analysis system is to digitalize the physical document. Recently number of researcher present numerous techniques that can vary in sensitivity, quality and some more control parameter. This paper presents a three tier framework for physical document digitization and describes an automatic technique for document digitization that can significantly increase the PSNR ratio.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Document digitization Laplacian of image intensity Canny edge Gaussian filter Markovian Random Field.

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