Iso 9001: 2008 Certified Journal, Volume 4, Issue 7, July 2014

---

International Journal of Emerging Technology and Advanced Engineering 
Website: www.ijetae.com (
ISSN 2250-2459,
 
ISO 9001:2008 Certified Journal,
 Volume 4, Issue 7, July 2014)
 
959 
Segmentation and Detection of Iris Region for Noisy Regions 
Taken in Unconstrained Using Fuzzy Weightage Membership 
Function and Hough Transform 
1
Gayatri, 
2
Swati Sharma 
1
Student, 
2
HOD, Universal Institute of Engineering and Technology, Punjab, India

 
Abstract— For more strict security requirements, biometric 
research has experienced significant advances in recent years. 
More important is the need to overcome the rigid constraints 
necessitated by the practical implementation of sensible but 
effective security methods such as recognition. An inventive 
iris acquisition method with less constraints on the iris 
verification and identification process as well as on the 
subject. Consequently, to provide acceptable measures of 
accuracy, it is critical for such an iris recognition system to be 
complemented by a robust iris segmentation approach to 
overcome various noise effects introduced through image 
capture under different recording environments and 
scenrarios. The proposed algorithm consists of few steps of 
detecting the approximate localization of the eye area of the 
noisy image captured at the visible wavelength using the 
extracted sclera area, defining the outer iris boundary which 
is the boundary between iris and sclera detecting the upper 
and lower eyelids, conducting the verification and correction