Historical Document Image Enhancement Using Background Light Intensity Normalization

Authors:
Zhixin Shi;Venu Govindaraju
Affiliations:
State University of New York at Buffalo, Amherst;State University of New York at Buffalo, Amherst
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Year:
2004

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Abstract

This paper presents a new background light intensity normalization algorithm suitable for historical document images.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.