A Review on Adaptive Approach for Degraded Document Binarization

This paper deals with an adaptive approach for binarization and enhancement of degraded documents. considerate the text from badly degraded document image is very difficult job due to high variations between the background and the foreground text of different document images. Alot of algorithms have previously been proposed for improving the thresholding of degraded document images. Not any of the algorithm can solve all types of problems, but a few of the algorithms are better than others for particular situation. There are various methodologies to improve the clarity of degraded documents such as:- Sauvola, Gato, Ni-black, Otsu etc. To remove degradations from documents like :- spoilt background, smudge, holes, gaps, irregular illumination and so on