In this paper we propose a method to extract user entered components from personal bank checks that may contain gray-level pictures. The proposed technique utilizes a pair of check images: i) a blank check image referred to as reference image and ii) a filled-in check image referred to as the sample image. A sophisticated technique of inter image subtraction can extract the user entered components. In general, the background patterns of reference image and sample images are not identical because of printing and scanning conditions. The authors propose a morphological inter image subtraction that consists of a GLS-expansion procedure and a logical subtraction procedure in gray-level space (GLS) to extract handwritten components from the filled-in checks. The user entered components are extracted by this method in a very robust manner and the extracted components are suitable for posterior word/string recognition step or signature identification step.
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