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Features for Printed Document Image Analysis
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104784016th International Conference on Patt ...
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Jean Duong, Hubert Emptoz, Myriam Côté, "Features for Printed Document Image Analysis," Pattern Recognition, International Conference on, vol. 3, pp. 30245, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002.
 
 
BibTex
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@article{ 10.1109/ICPR.2002.1047840,
author = {Jean Duong and Hubert Emptoz and Myriam Côté},
title = {Features for Printed Document Image Analysis},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2002},
issn = {1051-4651},
pages = {30245},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1047840},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - Features for Printed Document Image Analysis
SN - 1051-4651
SP
EP
A1 - Jean Duong,
A1 - Hubert Emptoz,
A1 - Myriam Côté,
PY - 2002
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Jean Duong, Institut National des Sciences Appliquées de Lyon and Ecole de Technologie Supérieure
Hubert Emptoz, Institut National des Sciences Appliquées de Lyon
Myriam Côté, Ecole de Technologie Supérieure
This paper presents features for text/non-text area separation in printed document images. It firstly introduces entropic discrimination (i.e., a simple separation using only one feature). Then, a brief recall on existing texture and geometric discriminant parameters proposed in previous research is done. Several of them are statistically examined.
Citation:
Jean Duong, Hubert Emptoz, Myriam Côté, "Features for Printed Document Image Analysis," icpr, vol. 3, pp.30245, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
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