A NOVEL STEERABLE FILTERS BASED FUZZY UNSHARP MASKING SCHEME FOR DOCUMENT IMAGES ENHANCEMENT
E. Balamurugan, P. Sengottuvelan, K Sangeetha · 2014
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 produc ed optimal results. In this paper, a steerable filters based fuzzy unsharp masking algorithmic rule is gi ven 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 mask ing scheme. Contrast enhancement is achieved through the open membership performance is projected to rework the output of steerable filters into fuzzy doma in. The experimental results clearly show that the prop osed methodology not slowly improves the image quality however will get a far better recognition p erformance.