An Iris Localization Method for Non-ideal Eye Images
Navjot Kaur, Mamta Juneja · 2014
Abstract—Iris recognition is one of the emerging areas as the demand for security in social and personal areas is increasing day by day. The main and most challenging step in the process of iris recognition is iris localization. As accuracy in localization of iris significantly affect the further processing of feature extraction and template matching stages. Traditional algorithms work efficiently and accurately in localizing iris from eye images taken in constrained environmental conditions. But their accuracy is affected when eye images are taken in unconstrained environmental conditions. The proposed algorithm starts with determining the exact location of iris even in the presence of specular highlights and non-ideal environmental conditions. The proposed algorithm works well for iris images and the accuracy of segmentation stage has increased when intuitionistic fuzzy is applied on the UBIRIS v2 iris images.