• DocumentCode
    3316185
  • Title

    A Hough based algorithm for extracting text lines in handwritten documents

  • Author

    Likforman-Sulem, Laurence ; Hanimyan, Anadid ; Faure, Claudie

  • Author_Institution
    Ecole Nat. Superieure des Telecommun., Paris, France
  • Volume
    2
  • fYear
    1995
  • fDate
    14-16 Aug 1995
  • Firstpage
    774
  • Abstract
    The method herein proposed detects text lines on handwritten pages which may include either lines oriented in several directions, erasures, or annotations between main lines. The method has a hypothesis-validation strategy which is iteratively activated until the end of the segmentation is reached. At each stage of the process, the best text-line hypothesis is generated in the Hough domain. Taking into account the fluctuations of the text-line components. Afterwards, the validity of the line is checked in the image domain using a proximity criteria which analyses the context in which is perceived the alignment hypothesized. Ambiguous components belonging to several text lines are also marked
  • Keywords
    Hough transforms; feature extraction; handwriting recognition; Hough based algorithm; handwritten documents; hypothesis-validation strategy; proximity criteria; text lines extraction; text-line hypothesis; Data mining; Fluctuations; Gravity; Image analysis; Image recognition; Image segmentation; Iterative methods; Optical devices; Text recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-8186-7128-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.1995.602017
  • Filename
    602017