• DocumentCode
    2020792
  • Title

    A Method of Annotation Extraction from Paper Documents Using Alignment Based on Local Arrangements of Feature Points

  • Author

    Nakai, Tomoo ; Kise, Kenji ; Iwamura, Mikio

  • Author_Institution
    Osaka Prefecture Univ., Sakai
  • Volume
    1
  • fYear
    2007
  • fDate
    23-26 Sept. 2007
  • Firstpage
    23
  • Lastpage
    27
  • Abstract
    Annotations on paper documents include important information. We can exploit the information by extracting and analyzing annotations. In this paper, we propose a method of annotation extraction from paper documents. Unlike previous methods which limit colors or types of annotations to be extracted, the proposed method attempts to extract annotations by comparing a document image of an annotated document with its original document image for removing the limitations. The proposed method is characterized by fast matching and flexible subtraction of images both of which are essential to the annotation extraction by comparison. Experimental results have shown that color annotations can be extracted from color documents.
  • Keywords
    document image processing; feature extraction; image matching; annotation extraction; document image processing; fast point matching; feature point arrangement; image subtraction; paper document; Colored noise; Data mining; Design methodology; Image analysis; Image recognition; Indexing; Information analysis; Spatial databases; Text analysis;
  • 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.2007.4378669
  • Filename
    4378669