• DocumentCode
    3462402
  • Title

    Determination of run-length smoothing values for document segmentation

  • Author

    Papamarkos, N. ; Tzortzakis, J. ; Gatos, B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace, Xanthi, Greece
  • Volume
    2
  • fYear
    1996
  • fDate
    13-16 Oct 1996
  • Firstpage
    684
  • Abstract
    The segmentation is a pre-processing procedure in document analysis systems. In this paper, a document segmentation method is proposed which is based on run-length smoothing algorithm. Run-length based segmentation methods use heuristic techniques to determine the values of the smoothing variables. In this paper, we present an unsupervised technique, based on the distributions of the black and white run-lengths, for the calculation of proper values of the smoothing variables
  • Keywords
    document image processing; image segmentation; smoothing methods; document segmentation; heuristic technique; run-length smoothing algorithm; unsupervised technique; Character recognition; Circuit analysis computing; Frequency; Graphics; Iterative algorithms; Laboratories; Optical character recognition software; Optical sensors; Smoothing methods; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
  • Conference_Location
    Rodos
  • Print_ISBN
    0-7803-3650-X
  • Type

    conf

  • DOI
    10.1109/ICECS.1996.584454
  • Filename
    584454