Using Error Recovery Techniques to Improve Sketch Recognition Accuracy

  • Authors:
  • Gennaro Costagliola;Vincenzo Deufemia;Michele Risi

  • Affiliations:
  • Dipartimento di Matematica e Informatica, Università di Salerno, Fisciano, Italy 84084;Dipartimento di Matematica e Informatica, Università di Salerno, Fisciano, Italy 84084;Dipartimento di Matematica e Informatica, Università di Salerno, Fisciano, Italy 84084

  • Venue:
  • Graphics Recognition. Recent Advances and New Opportunities
  • Year:
  • 2008

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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.