• DocumentCode
    1246936
  • Title

    Evaluation of binarization methods for document images

  • Author

    Trier, Øivind Due ; Taxt, Torfinn

  • Author_Institution
    Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA
  • Volume
    17
  • Issue
    3
  • fYear
    1995
  • fDate
    3/1/1995 12:00:00 AM
  • Firstpage
    312
  • Lastpage
    315
  • Abstract
    This paper presents an evaluation of eleven locally adaptive binarization methods for gray scale images with low contrast, variable background intensity and noise. Niblack´s method (1986) with the addition of the postprocessing step of Yanowitz and Bruckstein´s method (1989) added performed the best and was also one of the fastest binarization methods
  • Keywords
    document image processing; image processing; document images; gray scale images; locally adaptive binarization methods; low contrast; noise; postprocessing; variable background intensity; Availability; Background noise; Data mining; Engineering drawings; Image analysis; Labeling; Pixel; Postal services; Stochastic resonance; Text analysis;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.368197
  • Filename
    368197
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1246936