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This paper presents a new algorithm for fusioning images of text-documents taken with different exposures.It is compared to several standard block oriented exposure- and focus-blending-algorithms.The recognition rate of a publicly available OCR-engine is used as a benchmark to quantify the results.Experiments show in average an improvement in the recognition rate from 0.46 to 0.64 by employing exposure...
In this paper, a new binarization algorithm for degraded document images is proposed. The method is based on positive and negative pixel energies using the Laplacian of an image. After a filtering step and morphological operations our local contrast segmentation method is able to detecting connected components. The given approach is applied to cases of sophisticated, challenging documents and other...
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