Authors : E. Balamurugan, P. Sengottuvelan and K. Sangeetha
Abstract: Document image analysis is to focus on analyzing the texts, handwritten characters and images inthe document. Problem with most of the document image analysis system is the images with low contrast from which it is not possible to produce good results. In this study, a steerable filters based fuzzy unsharp masking algorithmic rule is given to improve the contrast of the document image. In this method, researchers introduce the fuzzy set theory into the unsharp masking scheme. Moreover, the 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 output of steerable filters with fuzzy domain. The experimental results clearly show that the proposed methodology not solely improves the image quality, however will get a far better recognition performance.
E. Balamurugan, P. Sengottuvelan and K. Sangeetha, 2014. Document Image Enhancement using Steerable Filters Based Fuzzy Unsharp Masking. International Journal of Soft Computing, 9: 88-94.