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Modeling On-line Handwriting Using Pairwise Relational Features

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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https://hal.inria.fr/inria-00104883
Contributor : Anne Jaigu <>
Submitted on : Monday, October 9, 2006 - 4:02:01 PM
Last modification on : Friday, January 8, 2021 - 5:34:11 PM
Long-term archiving on: : Tuesday, April 6, 2010 - 7:04:18 PM

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  • HAL Id : inria-00104883, version 1

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Rudy Sicard, Thierry Artières, Eric Petit. Modeling On-line Handwriting Using Pairwise Relational Features. Tenth International Workshop on Frontiers in Handwriting Recognition, Université de Rennes 1, Oct 2006, La Baule, France. ⟨inria-00104883⟩

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