• DocumentCode
    2038004
  • Title

    On the auto-completion of hand drawn symbols

  • Author

    De Rosa, Mattia

  • Author_Institution
    Dept. of Inf., Univ. of Salerno, Salerno, Italy
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 4 2012
  • Firstpage
    223
  • Lastpage
    224
  • Abstract
    In this paper, preliminary studies for a new eager recognition algorithm for online hand drawn symbols and the usefulness of symbol auto-completion through experiments with users working on a real application are briefly described. The recognition of individual symbols is often not enough, as a matter of fact most of the times graphical symbols are parts of diagrams and the approach is sensitive to the preprocessing performed to extract the primitives.
  • Keywords
    computer graphics; diagrams; handwritten character recognition; screens (display); visual languages; online hand drawn symbols autocompletion; online hand drawn symbols eager recognition algorithm; real application; times graphical symbols; Context; Dictionaries; Histograms; Shape; USA Councils; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Languages and Human-Centric Computing (VL/HCC), 2012 IEEE Symposium on
  • Conference_Location
    Innsbruck
  • ISSN
    1943-6092
  • Print_ISBN
    978-1-4673-0852-6
  • Type

    conf

  • DOI
    10.1109/VLHCC.2012.6344524
  • Filename
    6344524