PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Modeling on-line handwriting using pairwise relational features
R Sicard, T Artières and E Petit
In: IWFHR 2006, 23-26 Oct 2006, La Baule, France.

Abstract

We propose a new modeling strategy for on-line handwriting. It relies on the use of local and relational features. It allows implementing a variety of models, including traditional Markovian models. Introducing relational features allows building models that exhibit much robustness to noise, extra strokes, temporal ordering variations etc. It may be used for various tasks such as sequence recognition or partial matching of sequences.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:2837
Deposited By:Thierry Artieres
Deposited On:22 November 2006