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Interest of Syntactic Knowledge for On-line Flowchart Recognition

Aurélie Lemaitre 1, * Harold Mouchère 2 Jean Camillerapp 1 Bertrand Coüasnon 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 : In this paper, we address the problem of segmentation and recognition of on-line flowcharts. Flowcharts are bi-dimensional documents, in the sense that the order of writing is not defined. Some statistical approaches have been proposed in the literature to label and segment the flowcharts. However, as they are very well structured documents, we propose to introduce some structural and syntactic knowledge on flowcharts to improve their recognition. For this purpose, we have used an existing grammatical off-line method with on-line a posteriori signal. We apply this work on a freely available database. The results demonstrate the interest of structural knowledge on the context to improve the recognition.
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Submitted on : Tuesday, October 25, 2011 - 12:35:23 PM
Last modification on : Wednesday, April 27, 2022 - 3:49:59 AM
Long-term archiving on: : Thursday, January 26, 2012 - 2:44:01 PM


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  • HAL Id : hal-00635457, version 1


Aurélie Lemaitre, Harold Mouchère, Jean Camillerapp, Bertrand Coüasnon. Interest of Syntactic Knowledge for On-line Flowchart Recognition. Graphics Recognition, GREC 2011, Sep 2011, North Korea. ⟨hal-00635457⟩



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