• DocumentCode
    2021362
  • Title

    Ink Annotations and their Anchoring in Heterogeneous Digital Documents

  • Author

    Wang, Xin ; Raghupathy, Sashi

  • Author_Institution
    Microsoft Corp, Redmond
  • Volume
    1
  • fYear
    2007
  • fDate
    23-26 Sept. 2007
  • Firstpage
    163
  • Lastpage
    167
  • Abstract
    The analysis, especially the anchoring, of free-form ink annotations on mixed-content digital documents is more difficult than that of documents containing only text. In this paper, first, we present our work on analyzing the common user scenarios of ink annotations and their anchoring in such an environment, and we also present a unified way to define and analyze the anchoring of different types of annotations. Then we describe how our ink parsing system integrates the anchoring of and annotation with the recognition of its type. The method can be used in a real-time heterogeneous document analysis system.
  • Keywords
    document image processing; image recognition; real-time systems; anchoring analysis; free-form ink annotation recognition; ink parsing system; mixed-content digital documents; real-time heterogeneous document analysis system; user scenarios; Brushes; Ink; Software libraries; Switches; Text analysis; Text recognition; User interfaces; White spaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
  • Conference_Location
    Parana
  • ISSN
    1520-5363
  • Print_ISBN
    978-0-7695-2822-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.2007.4378696
  • Filename
    4378696