Background removal for check processing using morphology

Yimei Ding; Fumitaka Kimura; Minoru Okada; Malayappan Shridhar; John W. V. Miller

doi:10.1117/12.580573

16 December 2004 Background removal for check processing using morphology

Yimei Ding, Fumitaka Kimura, Minoru Okada, Malayappan Shridhar, John W. V. Miller

Proceedings Volume 5606, Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology II; (2004) https://doi.org/10.1117/12.580573
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States

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.

Citation Download Citation

Yimei Ding, Fumitaka Kimura, Minoru Okada, Malayappan Shridhar, and John W. V. Miller "Background removal for check processing using morphology", Proc. SPIE 5606, Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology II, (16 December 2004); https://doi.org/10.1117/12.580573

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