• DocumentCode
    3173253
  • Title

    Using stochastic syntactic analysis for extracting a logical structure from a document image

  • Author

    Tateisi, Yuka ; Itoh, Nobuyasu

  • Author_Institution
    Res. Lab., IBM Japan Ltd., Kanagawa, Japan
  • Volume
    2
  • fYear
    1994
  • fDate
    9-13 Oct 1994
  • Firstpage
    391
  • Abstract
    A method of stochastic syntactic analysis is applied to extracting the logical structure of a printed document from its physical layout and keywords indicating logical components. The document is parsed as a sentence consisting of text lines and graphic objects according to a stochastic regular grammar with attributes. By using stochastic analysis, the parser can retain possible results in order of their probability, and thus, if ambiguity occurs, it selects an optimal result more appropriately than deterministic systems. A mark up system applying the method was constructed, and 87% of the logical components of manuals and 82% of those of technical papers are correctly marked up. The rate improved to 89% when the second candidates were considered, showing the advantage of the authors´ approach over the deterministic approach
  • Keywords
    document image processing; document image; graphic objects; logical structure; manuals; mark up system; printed document; stochastic analysis; stochastic regular grammar; stochastic syntactic analysis; technical papers; text lines; Graphics; Image analysis; Laboratories; Layout; Markup languages; SGML; Speech analysis; Speech recognition; Stochastic processes; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
  • Conference_Location
    Jerusalem
  • Print_ISBN
    0-8186-6270-0
  • Type

    conf

  • DOI
    10.1109/ICPR.1994.576951
  • Filename
    576951