• DocumentCode
    2630147
  • Title

    Structural recognition of tabulated data

  • Author

    Chandran, Surekha ; Kasturi, Rangachar

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    1993
  • fDate
    20-22 Oct 1993
  • Firstpage
    516
  • Lastpage
    519
  • Abstract
    A system for extraction of structural information of a table from its image is discussed. Following the initial binarization and deskewing operations, the image is scanned to extract all horizontal and vertical lines that are present. The table´s dimensions are estimated based on these lines. Unlike other systems, the procedure described does not depend on the sole existence of lines to mark the item blocks. White streams are recognized in both the horizontal and vertical direction as substitutes for any missing demarcation lines. A structure interpretation procedure uses the extracted demarcation information to identify each of the item blocks in the table. Subsequently, the interrelations of these item blocks are used to recognize the structure of the tabulated data
  • Keywords
    feature extraction; image scanners; optical character recognition; deskewing operations; extracted demarcation information; information extraction; initial binarization; item blocks; missing demarcation lines; structural information; structural recognition; structure interpretation procedure; tabulated data; vertical direction; vertical lines; Computer science; Data mining; Data preprocessing; Detection algorithms; Image analysis; Image converters; Image resolution; Streaming media; Text analysis; Text recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
  • Conference_Location
    Tsukuba Science City
  • Print_ISBN
    0-8186-4960-7
  • Type

    conf

  • DOI
    10.1109/ICDAR.1993.395683
  • Filename
    395683