Intelligent Zoning Design Using Multi-Objective Evolutionary Algorithms

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Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2

Edinburgh, Scotland

August 03-August 06

ISBN: 0-7695-1960-1

	ASCII Text	x
	Paulo V. W. Radtke, Luiz S. Oliveira, Robert Sabourin, Tony Wong, "Intelligent Zoning Design Using Multi-Objective Evolutionary Algorithms," Document Analysis and Recognition, International Conference on, vol. 2, pp. 824, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003.

	BibTex	x
	@article{ 10.1109/ICDAR.2003.1227777, author = {Paulo V. W. Radtke and Luiz S. Oliveira and Robert Sabourin and Tony Wong}, title = {Intelligent Zoning Design Using Multi-Objective Evolutionary Algorithms}, journal ={Document Analysis and Recognition, International Conference on}, volume = {2}, year = {2003}, isbn = {0-7695-1960-1}, pages = {824}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227777}, 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 - Intelligent Zoning Design Using Multi-Objective Evolutionary Algorithms SN - 0-7695-1960-1 SP EP A1 - Paulo V. W. Radtke, A1 - Luiz S. Oliveira, A1 - Robert Sabourin, A1 - Tony Wong, PY - 2003 KW - null VL - 2 JA - Document Analysis and Recognition, International Conference on ER -

Paulo V. W. Radtke, ?cole de Technologie Sup?rieure - Montreal, Canada; Pontif?cia Universidade Cat?lica do Paran? - Curitiba, Brazil

Luiz S. Oliveira, ?cole de Technologie Sup?rieure - Montreal, Canada

Robert Sabourin, ?cole de Technologie Sup?rieure - Montreal, Canada; Pontif?cia Universidade Cat?lica do Paran? - Curitiba, Brazil

Tony Wong, ?cole de Technologie Sup?rieure - Montreal, Canada

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227777

This paper discusses the use of multi objective evolutionary algorithms applied to the engineering of zoning for handwriten recognition. Usually a task fulfilled by an human expert, zoning design relies on specific domain knowledge and a trial and error process to select an adequate design. Our proposed approach to automatically define the zone design was tested and was able to define zoning strategies that performed better than our former strategy defined manually.

Citation:

Paulo V. W. Radtke, Luiz S. Oliveira, Robert Sabourin, Tony Wong, "Intelligent Zoning Design Using Multi-Objective Evolutionary Algorithms," icdar, vol. 2, pp.824, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003

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