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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 new generic method for modeling and evaluating the relative positioning of handwritten patterns. Thanks to a morphological approach it handles the variability of handwritten shapes and providing a flexible fuzzy description of positioning relations. We propose a way to automatically learn such spatial relation models from samples, and prove that resulting models can be fruitfully used for pattern recognition purpose.

Keywords : handwriting recognition relative positioning fuzzy set fuzzy models mathematical morphology

Author: Adrien Delaye - Sébastien Macé - Eric Anquetil -



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