• DocumentCode
    3060948
  • Title

    Binary character/graphics image extraction: a new technique and six evaluation aspects

  • Author

    Kamel, Mohamed ; Zhao, Aiguo

  • Author_Institution
    Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    113
  • Lastpage
    116
  • Abstract
    Deals with the extraction of binary character/graphics images from grayscale document images with background pictures, shadows, highlight, smear and smudge. The authors review four published extraction techniques, and present a new technique. They then propose speed, memory requirement, stroke width restriction, parameter number, parameter setting and human subjective evaluation of result images as six aspects for evaluating and analysing extraction techniques. The result of systematically evaluating and analyzing both new and published techniques with experiments on images of typical check images and poor-quality text documents with respect to these six aspects is reported
  • Keywords
    character recognition; document image processing; feature extraction; binary character/graphics image extraction; character recognition; document image processing; grayscale document images; human subjective evaluation; memory requirement; parameter number; parameter setting; stroke width restriction; Character recognition; Design engineering; Graphics; Gray-scale; Humans; Image analysis; Image processing; Optical character recognition software; Pixel; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2920-7
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201940
  • Filename
    201940