• DocumentCode
    1638621
  • Title

    Hybrid Page Layout Analysis via Tab-Stop Detection

  • Author

    Smith, Ray

  • Author_Institution
    Google Inc., Mountain View, CA, USA
  • fYear
    2009
  • Firstpage
    241
  • Lastpage
    245
  • Abstract
    A new hybrid page layout analysis algorithm is proposed, which uses bottom-up methods to form an initial data-type hypothesis and locate the tab-stops that were used when the page was formatted. The detected tab-stops, are used to deduce the column layout of the page. The column layout is then applied in a top-down manner to impose structure and reading-order on the detected regions. The complete C++ source code implementation is available as part of the Tesseract open source OCR engine at http://code.google.com/p/tesseract-ocr.
  • Keywords
    document image processing; image classification; optical character recognition; C++ source code implementation; OCR; bottom-up classification method; column layout; hybrid page layout analysis; initial data-type hypothesis; tab-stop detection; top-down manner; Algorithm design and analysis; Background noise; Image analysis; Image edge detection; Image segmentation; Optical character recognition software; Pixel; Publishing; Search engines; Text analysis; Page Layout Analysis; Tab detection; Tesseract;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4244-4500-4
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2009.257
  • Filename
    5277715