• DocumentCode
    442753
  • Title

    Extraction of filled in strokes from cheque image using pseudo 2D wavelet with adjustable support

  • Author

    Xi, Dihua ; Kamel, Mohamed

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
  • Volume
    2
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    Automatic cheque image processing is an important task in document image processing. Although many methods have been developed, it is still a challenge to find effective methods for some of the tasks, one of these is how to extract the filled-in strokes from a given cheque image. The problem becomes more difficult when a cheque has a complicated background. Most current methods are only applicable to simple binary images. This paper presents a method for processing complicated grey images in two steps. Both the extraction of reference lines and filled-in strokes are included. Our method is based on the construction of a pseudo 2D wavelet with adjustable rectangular supports. The experimental result shows good performance in the present method, which is also effective for slightly skewed cheque image.
  • Keywords
    document image processing; feature extraction; wavelet transforms; adjustable rectangular supports; automatic cheque image processing; binary images; document image processing; pseudo 2D wavelet; stroke extraction; Character recognition; Costs; Data mining; Document image processing; Image processing; Image recognition; Machine intelligence; Optical character recognition software; Pattern analysis; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1530114
  • Filename
    1530114