@article{MAKHILLIJSC20149221187,
    title = {Document Image Enhancement using Steerable Filters Based Fuzzy Unsharp Masking},
    journal = {International Journal of Soft Computing},
    volume = {9},
    number = {2},
    pages = {88-94},
    year = {2014},
    issn = {1816-9503},
    doi = {ijscomp.2014.88.94},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2014.88.94},
    author = {E.,P. and},
    keywords = {Document image enhancement,steerable filters,unsharp masking and fuzzy set theory,Unsharp Masking (UM),contrast},
    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.}
    }