• DocumentCode
    1580555
  • Title

    Segmenting document images using diagonal white runs and vertical edges

  • Author

    Waked, Boulos ; Suen, Ching Y. ; Bergler, Sabine

  • Author_Institution
    Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    194
  • Lastpage
    199
  • Abstract
    We introduce a technique based on diagonal white runs and vertical edges, that divides a document image into columns and blocks which are subsequently classified as text or graphics. A diagonal white run (drun) is a set of adjacent white pixels that are diagonally connected, and a vertical edge consists of the white area between two consecutive druns. This technique was designed as a layout-independent approach. Testing the proposed approach on document images with 14 different types and layouts, written in different languages, shows comparative and promising results
  • Keywords
    document image processing; edge detection; image classification; image segmentation; blocks; columns; diagonal white runs; diagonally connected adjacent white pixels; document image segmentation; druns; graphics; image classification; languages; layout-independent approach; text; vertical edges; white area; Graphics; Image segmentation; Layout; Machine intelligence; Merging; Pattern recognition; Smoothing methods; Streaming media; Testing; White spaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7695-1263-1
  • Type

    conf

  • DOI
    10.1109/ICDAR.2001.953782
  • Filename
    953782