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Normalization of Contrast in Document Images Using Generalized Fuzzy Operator with Least Square Method
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104780816th International Conference on Patt ...
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C. C. Leung, University of Hong Kong
P. C. K. Kwok, The Open University of Hong Kong
F. H. Y. Chan, University of Hong Kong
W. K. Tsui, University of Hong Kong
The visual effect of non-uniform contrast and brightness surrounds in the image is a very common problem in the applications of photocopying, IC manufacture and medicine. In using the digital/CCD camera to capture documents and photos based on non-uniform illumination condition, the poor image will be seen. The poor image can result in achieving the inaccurate reading from the optical character recognition (OCR) system. This paper present a new approach to normalize the local contrast in documentation based on the least square method and also enhance the object of interest using generalized fuzzy operator (GFO). Two typical examples are used for evaluating the method.
Citation:
C. C. Leung, P. C. K. Kwok, F. H. Y. Chan, W. K. Tsui, "Normalization of Contrast in Document Images Using Generalized Fuzzy Operator with Least Square Method," icpr, vol. 3, pp.30115, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
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