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Adaptive Window Based Uneven Lighting Document Segmentation
Curitiba, Parana, Brazil September 23-September 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.42Ninth International Conference on Doc ...
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G. Gu, W. Han, "Adaptive Window Based Uneven Lighting Document Segmentation," Document Analysis and Recognition, International Conference on, vol. 1, pp. 223-226, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007.
 
 
BibTex
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@article{ 10.1109/ICDAR.2007.42,
author = {G. Gu and W. Han},
title = {Adaptive Window Based Uneven Lighting Document Segmentation},
journal ={Document Analysis and Recognition, International Conference on},
volume = {1},
year = {2007},
issn = {1520-5363},
pages = {223-226},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.42},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - Adaptive Window Based Uneven Lighting Document Segmentation
SN - 1520-5363
SP223
EP226
A1 - G. Gu,
A1 - W. Han,
PY - 2007
VL - 1
JA - Document Analysis and Recognition, International Conference on
ER -
 
G. Gu, East China Normal University
W. Han, East China Normal University
The method presented in this paper has two noteworthy aspects. First, in order to improve segmentation quality, sub-pixel interpolation using quadratic curve fitting is performed. Second, adaptive widow for thresholding is done in a novel way. The variance of gray value in each widow is used both for widow size choosing and grayscale thresholding. Experiment results show that this segmentation algorithm is suitable for treating document images of uneven lighting.
Citation:
G. Gu, W. Han, "Adaptive Window Based Uneven Lighting Document Segmentation," icdar, vol. 1, pp.223-226, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007
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