Texture Feature Characterization for Logical Pre-labeling

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	Similar Articles Articles by B?n?dicte Allier Articles by Jean Duong Articles by Antoine Gagneux Articles by Pierre Mallet Articles by Hubert Emptoz

Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1

Edinburgh, Scotland

August 03-August 06

ISBN: 0-7695-1960-1

	ASCII Text	x
	B?n?dicte Allier, Jean Duong, Antoine Gagneux, Pierre Mallet, Hubert Emptoz, "Texture Feature Characterization for Logical Pre-labeling," Document Analysis and Recognition, International Conference on, vol. 1, pp. 567, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003.

	BibTex	x
	@article{ 10.1109/ICDAR.2003.1227728, author = {B?n?dicte Allier and Jean Duong and Antoine Gagneux and Pierre Mallet and Hubert Emptoz}, title = {Texture Feature Characterization for Logical Pre-labeling}, journal ={Document Analysis and Recognition, International Conference on}, volume = {1}, year = {2003}, isbn = {0-7695-1960-1}, pages = {567}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227728}, 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 - Texture Feature Characterization for Logical Pre-labeling SN - 0-7695-1960-1 SP EP A1 - B?n?dicte Allier, A1 - Jean Duong, A1 - Antoine Gagneux, A1 - Pierre Mallet, A1 - Hubert Emptoz, PY - 2003 KW - null VL - 1 JA - Document Analysis and Recognition, International Conference on ER -

B?n?dicte Allier, INSA de Lyon

Jean Duong, INSA de Lyon

Antoine Gagneux, INSA de Lyon

Pierre Mallet, INSA de Lyon

Hubert Emptoz, INSA de Lyon

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227728

In this article we present a study based on the use of texture features for logical pre-labeling. The aim of our work is to calculate a great number of texture features over three sets of machine-printed document images and to study their joint discriminant power using SVM classifiers. The three corpuses we use are: the Archives of Savoie (AoS), composed of strongly structured documents, the second one is a subset of the UW3 database, and the last one is not structured at all, since it is composed of web site images. The originality of our contribution is to sum up various methods used for many years in our domain, and to test them on documents having really different specificities.

Citation:

B?n?dicte Allier, Jean Duong, Antoine Gagneux, Pierre Mallet, Hubert Emptoz, "Texture Feature Characterization for Logical Pre-labeling," icdar, vol. 1, pp.567, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003

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