Intelligent classification of sketch strokes

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    12 Citations (Scopus)

    Abstract

    This paper presents an intelligent method for classifying pen strokes in an on-line sketching system. The method, based on adaptive threshold and fuzzy knowledge with respect to curve's linearity and convexity, can identify sketch strokes (curves) into lines, circles, arcs, ellipses, elliptical arcs, loop lines, spring lines and free-form B-spline curves. The proposed method has proven to be fast, suitable for real-time classification and identification.
    Original languageEnglish
    Title of host publicationProceedings of EUROCON 2005 - The International Conference on Computer as a Tool
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Pages1374-1377
    Volume2
    ISBN (Print)142440049X
    DOIs
    Publication statusPublished - 2005
    EventThe International Conference on Computer as a Tool, 2005. (EUROCON 2005) - Belgrade
    Duration: 1 Jan 2005 → …

    Conference

    ConferenceThe International Conference on Computer as a Tool, 2005. (EUROCON 2005)
    Period1/01/05 → …

    Keywords

    • fuzzy knowledge
    • curve classification
    • curve fitting
    • sketch recognition

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