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A Priority-Driven General Approach of Segmentation-Recognition of Connected Symbols

Christophe Renaudin 1 Yann Ricquebourg 1 Jean Camillerapp 1 
1 IMADOC - Interprétation et Reconnaissance d’Images et de Documents
UR1 - Université de Rennes 1, INSA Rennes - Institut National des Sciences Appliquées - Rennes, CNRS - Centre National de la Recherche Scientifique : UMR6074
Abstract : In this paper, we present a general method to segment and recognize two or more connected symbols. The method is based on the evaluation of segmentation candidates produced by grouping elements of an over-segmentation. The possible segmentation areas obtained by the over-segmentation are hierarchically ordered, which allows a priority-driven approach in the investigation of correct segmentation. The method was tested on connected handwritten digits and on connected printed mathematical symbols.
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Contributor : Christophe Renaudin Connect in order to contact the contributor
Submitted on : Wednesday, October 1, 2008 - 1:03:26 PM
Last modification on : Thursday, January 7, 2021 - 4:34:10 PM


  • HAL Id : hal-00326050, version 1


Christophe Renaudin, Yann Ricquebourg, Jean Camillerapp. A Priority-Driven General Approach of Segmentation-Recognition of Connected Symbols. 11th International Conference on Frontiers in Handwriting Recognition - ICFHR 2008, Aug 2008, Montréal, Canada. p. 629-634. ⟨hal-00326050⟩



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