• DocumentCode
    3027818
  • Title

    Development of techniques for sketched diagram recognition

  • Author

    Blagojevic, Rachel ; Plimmer, Beryl ; Grundy, John ; Wang, Yong

  • Author_Institution
    Univ. of Auckland, Auckland
  • fYear
    2008
  • fDate
    15-19 Sept. 2008
  • Firstpage
    258
  • Lastpage
    259
  • Abstract
    The focus of this research is to develop general diagram recognition techniques based on quantitative experiments using machine learning to determine the most significant ink features and effective algorithms for use throughout the recognition process. This should improve on existing recognition success rates.
  • Keywords
    image recognition; learning (artificial intelligence); ink features; machine learning; sketched diagram recognition; Computer interfaces; Engines; Hardware; Ink; Labeling; Libraries; Machine learning; Machine learning algorithms; Problem-solving; Process design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Languages and Human-Centric Computing, 2008. VL/HCC 2008. IEEE Symposium on
  • Conference_Location
    Herrsching am Ammersee
  • ISSN
    1943-6092
  • Print_ISBN
    978-1-4244-2528-0
  • Electronic_ISBN
    1943-6092
  • Type

    conf

  • DOI
    10.1109/VLHCC.2008.4639100
  • Filename
    4639100
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3027818