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Communication Dans Un Congrès Année : 2006

Fuzzy Relative Positioning for On-Line Handwritten Stroke Analysis

Résumé

This paper deals with the qualitative and robust modelling of the relative positioning of on-line handwritten strokes. We exploit the fuzzy approach to take the imprecision of such relations into account. We first transpose a well-formalized method which proved itself in the domain of image analysis to the on-line case; it aims at evaluating the relation “to be in a given direction” relatively to a reference. Our first contribution is a solution to deal with the particular nature of on-line strokes, which are constituted of non-connected points. Our second and main contribution is a method to learn automatically fuzzy relative position relationships. It aims at evaluating the relation “to be in a given position” relatively to a reference using jointly the direction and the distance. We test the impact of this new fuzzy positioning approach on one possible application: the recognition of handwritten graphic gestures, which requires spatial context information to be discriminated. Whereas the recognition rate is 52.95% without any spatial information, we obtain a maximum of 95.75% when we use learnt relative position relationships.
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Dates et versions

inria-00104760 , version 1 (09-10-2006)

Identifiants

  • HAL Id : inria-00104760 , version 1

Citer

François Bouteruche, Sébastien Macé, Eric Anquetil. Fuzzy Relative Positioning for On-Line Handwritten Stroke Analysis. Tenth International Workshop on Frontiers in Handwriting Recognition, Université de Rennes 1, Oct 2006, La Baule (France). ⟨inria-00104760⟩
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