Segmentation of badly degraded document images is done for discriminating a text from background images but it is a very challenging task. So, to make a robust document images, till now many binarization techniques are used. But in existing binarization techniques thresholding and filtering is unsolved problem. In the existing method, an Adaptive contrast map is first constructed then binarized and combined with cannny edge map to identify text stroke edge pixels, the documented is further segmented by local threshold . So the existing methods are divided into four main steps out of which last two steps used two different algorithms. In the proposed method, we can modify algorithms and test degraded document images then compare the result that come from previous paper results.

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Adaptive Binarization Techniques Document Segmentation Image Processing Denoising.