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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dihua Xi Kamel, M. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada (Dihua Xi; Kamel, M.) |
| 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. |
| File Size | 298479 |
| File Format | |
| ISBN | 0780391349 |
| DOI | 10.1109/ICIP.2005.1530114 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-09-14 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data mining Wavelet analysis Image processing Optical character recognition software Pattern analysis Machine intelligence Document image processing Costs Image recognition Character recognition |
| Content Type | Text |
| Resource Type | Article |
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