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Handwritten Document Segmentation Using Hidden Markov Random Fields
Seoul, Korea August 31-September 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.124Eighth International Conference on Do ...
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Stephane Nicolas, Yousri Kessentini, Thierry Paquet, Laurent Heutte, "Handwritten Document Segmentation Using Hidden Markov Random Fields," Document Analysis and Recognition, International Conference on, pp. 212-216, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDAR.2005.124,
author = {Stephane Nicolas and Yousri Kessentini and Thierry Paquet and Laurent Heutte},
title = {Handwritten Document Segmentation Using Hidden Markov Random Fields},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {2005},
issn = {1520-5263},
pages = {212-216},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.124},
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 - Handwritten Document Segmentation Using Hidden Markov Random Fields
SN - 1520-5263
SP212
EP216
A1 - Stephane Nicolas,
A1 - Yousri Kessentini,
A1 - Thierry Paquet,
A1 - Laurent Heutte,
PY - 2005
KW - null
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Stephane Nicolas, PSI FRE CNRS Universite de Rouen UFR des Sciences et Techniques, France
Yousri Kessentini, PSI FRE CNRS Universite de Rouen UFR des Sciences et Techniques, France
Thierry Paquet, PSI FRE CNRS Universite de Rouen UFR des Sciences et Techniques, France
Laurent Heutte, PSI FRE CNRS Universite de Rouen UFR des Sciences et Techniques, France
In this paper we present a method based on Hidden Markov Random Fields and 2D dynamic programming image decoding, for segmenting pages of complex handwritten manuscripts such as novelist drafts. After a formal description of the theoretical framework and the principles of the decoding method, we describe the implementation of the model and the decoding method. Then we discuss the results obtained with this approach on the drafts of the French novelist Gustave Flaubert.
Citation:
Stephane Nicolas, Yousri Kessentini, Thierry Paquet, Laurent Heutte, "Handwritten Document Segmentation Using Hidden Markov Random Fields," icdar, pp.212-216, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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