TY  - JOUR
T1  - Document Image Enhancement using Steerable Filters Based Fuzzy Unsharp Masking
AU - Balamurugan, E. AU - Sengottuvelan, P. AU - Sangeetha, K. 
JO  - International Journal of Soft Computing
VL  - 9
IS  - 2
SP  - 88
EP  - 94
PY  - 2014
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2014.88.94
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2014.88.94
KW  - Document image enhancement
KW  -steerable filters
KW  -unsharp masking and fuzzy set theory
KW  -Unsharp Masking (UM)
KW  -contrast
AB  - 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.
ER  -