|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 60 - Issue 16 |
| Published: December 2012 |
| Authors: Kumud Saxena, Avinash Pokhriyal, Sushma Lehri |
10.5120/9774-4333
|
Kumud Saxena, Avinash Pokhriyal, Sushma Lehri . Image Enhancement using Hybrid Fuzzy Inference System (IEHFS). International Journal of Computer Applications. 60, 16 (December 2012), 8-13. DOI=10.5120/9774-4333
@article{ 10.5120/9774-4333,
author = { Kumud Saxena,Avinash Pokhriyal,Sushma Lehri },
title = { Image Enhancement using Hybrid Fuzzy Inference System (IEHFS) },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 60 },
number = { 16 },
pages = { 8-13 },
doi = { 10.5120/9774-4333 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Kumud Saxena
%A Avinash Pokhriyal
%A Sushma Lehri
%T Image Enhancement using Hybrid Fuzzy Inference System (IEHFS)%T
%J International Journal of Computer Applications
%V 60
%N 16
%P 8-13
%R 10.5120/9774-4333
%I Foundation of Computer Science (FCS), NY, USA
Image enhancement is a primary need for the recognition of different biometrics in biometric-based identification systems. The recognition-rate of a biometric system depends heavily upon the quality of the input biometric given to the system. In this paper, a novel hybrid Fuzzy model (IEHFS) is proposed to improve the visual quality of iris images. The experimental results based on calculating PSNR values show that this hybrid model enhances the noisy biometric images better than the conventional filters like median filter and Wiener filter.