Omnilingual Segmentation-freeWord Spotting for Ancient Manuscripts Indexation

Seoul, Korea August 31-September 01

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http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.171

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	Yann LEYDIER, Frank Le BOURGEOIS, Hubert EMPTOZ, "Omnilingual Segmentation-freeWord Spotting for Ancient Manuscripts Indexation," Document Analysis and Recognition, International Conference on, pp. 533-537, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.

	BibTex	x
	@article{ 10.1109/ICDAR.2005.171, author = {Yann LEYDIER and Frank Le BOURGEOIS and Hubert EMPTOZ}, title = {Omnilingual Segmentation-freeWord Spotting for Ancient Manuscripts Indexation}, journal ={Document Analysis and Recognition, International Conference on}, volume = {0}, year = {2005}, issn = {1520-5263}, pages = {533-537}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.171}, 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 - Omnilingual Segmentation-freeWord Spotting for Ancient Manuscripts Indexation SN - 1520-5263 SP533 EP537 A1 - Yann LEYDIER, A1 - Frank Le BOURGEOIS, A1 - Hubert EMPTOZ, PY - 2005 KW - null VL - 0 JA - Document Analysis and Recognition, International Conference on ER -

Yann LEYDIER, Archimed Lyon, 6 place Charle Hernu, 69100 Villeurbanne, France

Frank Le BOURGEOIS, LIRIS, 20 av. Albert Einstein, 69621 Villeurbanne, France

Hubert EMPTOZ, LIRIS, 20 av. Albert Einstein, 69621 Villeurbanne, France

This article introduces a new word spotting method designed for ancient manuscripts. We take advantage of the robustness of the gradient feature and propose a new segmentation-free matching algorithm that tolerates spatial variations. We test our algorithm on ancient Latin manuscripts and on George Washington?s manuscripts.

Citation:

Yann LEYDIER, Frank Le BOURGEOIS, Hubert EMPTOZ, "Omnilingual Segmentation-freeWord Spotting for Ancient Manuscripts Indexation," icdar, pp.533-537, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005

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