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
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;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530114