Modeling Relative Positioning of Handwritten Patterns

Adrien Delaye 1 Sébastien Macé 1 Eric Anquetil 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 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.
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Submitted on : Thursday, September 17, 2009 - 8:39:54 AM
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Adrien Delaye, Sébastien Macé, Eric Anquetil. Modeling Relative Positioning of Handwritten Patterns. 14th Biennial Conference of the International Graphonomics Society, Sep 2009, Dijon, France. pp.122-127. ⟨inria-00417806⟩

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