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Proceedings Paper

Background removal for check processing using morphology
Author(s): Yimei Ding; Fumitaka Kimura; Minoru Okada; Malayappan Shridhar; John W. V. Miller
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Paper Abstract

In this paper the authors present two methods to extract handwritten components from a personal bank check. The first technique utilizes a blank check image designated as the reference image and a filled-in check image designated as the sample image. These checks differ only at specific regions of the check reserved for insertion of handwritten or machine printed components. A technique called morphological subtraction is used to extract the user-entered components. However, because the background patterns of reference image and sample images will not be identical, an affine transform is used to ensure better alignment between the two images. To eliminate the need for a blank check of every kind, a second method is proposed that uses grayscale morphology to extract the handwritten information. Because some background features are similar to the user-entered information, some residual background information is likely to be present in the processed image; however these can be removed with post processing.

Paper Details

Date Published: 16 December 2004
PDF: 8 pages
Proc. SPIE 5606, Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology II, (16 December 2004); doi: 10.1117/12.580573
Show Author Affiliations
Yimei Ding, Mie Univ. (Japan)
Fumitaka Kimura, Mie Univ. (Japan)
Minoru Okada, Waseda Univ. (Japan)
Malayappan Shridhar, Univ. of Michigan/Dearborn (United States)
John W. V. Miller, Univ. of Michigan/Dearborn (United States)

Published in SPIE Proceedings Vol. 5606:
Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology II
Kevin G. Harding, Editor(s)

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