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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
Historical Document Image Enhancement Using Background Light Intensity Normalization
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Zhixin Shi, State University of New York at Buffalo, Amherst
Venu Govindaraju, State University of New York at Buffalo, Amherst
This paper presents a new background light intensity normalization algorithm suitable for historical document images. The algorithm uses an adaptive linear function to approximate the uneven background due to the uneven surface of the document paper, aged color and light source of the cameras for image lifting. Our algorithm adaptively captures the background with a "best fit" linear function and normalized with respect to the approximation. The technique works for both gray scale and color images with significant improvement in readability.
Citation:
Zhixin Shi, Venu Govindaraju, "Historical Document Image Enhancement Using Background Light Intensity Normalization," icpr, vol. 1, pp.473-476, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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