• DocumentCode
    2439350
  • Title

    Identifying contents page of documents

  • Author

    Luo, Qin ; Watanabe, Toyohide ; Nakayama, Takeshi

  • Author_Institution
    Fac. of Eng., Toyama Univ., Japan
  • Volume
    3
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    696
  • Abstract
    Contents pages of a document include useful information such as the list of contents, the hierarchical organization of the document, and the locations of each component (page number). Therefore, identification of contents pages is an effective way to establish the reference information of documents automatically. In this paper, we propose a recognition method for contents pages of documents: not only extract the meaningful data from contents page images and classify them into distinct items, but distinguish contents pages from other pages. As many researches reported until today indicate, successful methods for document analysis depend on the effective application of object-specific information. In this sense, the recognition of document types or classes is an important complement to document analysis
  • Keywords
    document image processing; image recognition; contents page identification; contents page recognition; documents; hierarchical organization; object-specific information; Connectors; Data mining; Image analysis; Information analysis; Software libraries; Testing; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.547035
  • Filename
    547035