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dc.titleThresholding of badly illuminated document images through photometric correction
dc.contributor.authorLu, S.
dc.contributor.authorTan, C.L.
dc.identifier.citationLu, S.,Tan, C.L. (2007). Thresholding of badly illuminated document images through photometric correction. DocEng'07: Proceedings of the 2007 ACM Symposium on Document Engineering : 3-8. ScholarBank@NUS Repository. <a href="" target="_blank"></a>
dc.description.abstractThis paper presents a document image thresholding technique that binarizes badly illuminated document images by the photometric correction. Based on the observation that illumination normally varies smoothly and document images often contain a uniformly colored background, the global shading variation is estimated by using a two-dimensional Savitzky-Golay filter that fits a least square polynomial surface to the luminance of a badly illuminated document image. With the knowledge of the global shading variation, shading degradation is then corrected through a compensation process that produces animage with roughly uniform illumination. Badly illuminated document images are accordingly binarized through the global thresholding of the compensated ones. Experiments show that the proposed thresholding technique is fast, robust, and efficient for the binarization of badly illuminated document images. Copyright 2007 ACM.
dc.subjectBadly-illuminated document images
dc.subjectDocument image analysis
dc.subjectDocument image thresholding
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleDocEng'07: Proceedings of the 2007 ACM Symposium on Document Engineering
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