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Word Extraction Associated with a Confidence Index for On-Line Handwritten Sentence Recognition

Solen Quiniou 1, * François Bouteruche 1 Eric Anquetil 1
* Corresponding author
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 : This paper presents an extension of our on-line sentence recognition system by integrating an automatic word extraction mechanism. Our word extraction task is based on the characterization of inter-stroke gaps, combined to a rejection strategy to evaluate the reliability of the gap classification results. A reconsideration mechanism then used this confidence index to create additional extracted word hypotheses by further controlling the complexity of the recognition task. Different metrics are used to evaluate the impact of this whole word extraction task on the recognition performance, on a set of 395 English sentences.
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https://hal.archives-ouvertes.fr/hal-00582413
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  • HAL Id : hal-00582413, version 1

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Solen Quiniou, François Bouteruche, Eric Anquetil. Word Extraction Associated with a Confidence Index for On-Line Handwritten Sentence Recognition. Conference of the International Graphonomics Society (IGS), Nov 2007, Melbourne, Australia. pp.52-55. ⟨hal-00582413⟩

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