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Using Error Recovery Techniques to Improve Sketch Recognition Accuracy

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Graphics Recognition. Recent Advances and New Opportunities (GREC 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5046))

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Abstract

Sketching is an activity that produces informal documents containing hand-drawn shapes highly variable and ambiguous. In this paper we present a diagrammatic sketch recognizer that is able to cope with the recognition of in-accurate hand-drawn symbols by exploiting error recovery techniques as developed for programming language compilers. The error recovery algorithms are able to interact with recognizers automatically generated from grammar specifications in order to obtain the information on missing or misrecognized strokes.

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Wenyin Liu Josep Lladós Jean-Marc Ogier

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© 2008 Springer-Verlag Berlin Heidelberg

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Costagliola, G., Deufemia, V., Risi, M. (2008). Using Error Recovery Techniques to Improve Sketch Recognition Accuracy. In: Liu, W., Lladós, J., Ogier, JM. (eds) Graphics Recognition. Recent Advances and New Opportunities. GREC 2007. Lecture Notes in Computer Science, vol 5046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88188-9_16

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  • DOI: https://doi.org/10.1007/978-3-540-88188-9_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88184-1

  • Online ISBN: 978-3-540-88188-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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