Handwritten Document Segmentation Using Hidden Markov Random Fields

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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)

Seoul, Korea

August 31-September 01

ISBN: 0-7695-2420-6

	ASCII Text	x
	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	x
	@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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.124

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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