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On Foreground-Background Separation in Low Quality Color Document Images
Seoul, Korea August 31-September 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.174Eighth International Conference on Do ...
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Utpal x Utpal Garain, Thierry Paquet, Laurent Heutte, "On Foreground-Background Separation in Low Quality Color Document Images," Document Analysis and Recognition, International Conference on, pp. 585-589, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDAR.2005.174,
author = {Utpal x Utpal Garain and Thierry Paquet and Laurent Heutte},
title = {On Foreground-Background Separation in Low Quality Color Document Images},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {2005},
issn = {1520-5263},
pages = {585-589},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.174},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - On Foreground-Background Separation in Low Quality Color Document Images
SN - 1520-5263
SP585
EP589
A1 - Utpal x Utpal Garain,
A1 - Thierry Paquet,
A1 - Laurent Heutte,
PY - 2005
KW - null
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Utpal x Utpal Garain, Indian Statistical Institute, Kolkata, India
Thierry Paquet, UFR des Sciences, University of Rouen, France
Laurent Heutte, UFR des Sciences, University of Rouen, France
This paper proposes an adaptive method for separation of foreground and background in low quality color document images. A connected component labelling is initially implemented to capture the spatially connected similar color pixels. Next, dominant background components are determined to divide the entire image is into number of grids each representing local uniformity in illumination, background, etc. Finally foreground parts are located using local information around them. Several color images of old historical documents including manuscripts of high importance are used in the experiment. Apart from a qualitative evaluation, results are quantitatively compared with one popular foreground/background separation technique.
Citation:
Utpal x Utpal Garain, Thierry Paquet, Laurent Heutte, "On Foreground-Background Separation in Low Quality Color Document Images," icdar, pp.585-589, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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