A Novel Steerable Filters Based Fuzzy Unsharp Masking Scheme for Document Images Enhancement

Document image sweetening is to focus on the texts, handwritten characters and images in the Document. Problem with most of the document image analysis system is images with low contrast not able to produced optimal results. In this paper, a steerable filters based fuzzy unsharp masking algorithmic rule is given to improve the contrast of the document image. In this method we introduce the fuzzy set theory into the unsharp masking scheme. Moreover, in this proposed model includes the new methods to replace a high pass filter with manageable filters in unsharp masking scheme. Contrast enhancement is achieved through the open membership performance is projected to rework the output of steerable filters into fuzzy domain. The experimental results clearly show that the proposed methodology not slowly improves the image quality however will get a far better recognition performance.