A Review on Iris Segmentation Based On Eyelid Detection for Non Ideal Images

Abstract

Recently, Iris recognition systems have gained increased attention especially in non-cooperative environments. One of the crucial steps in the iris recognition system is the iris segmentation because it significantly affects the accuracy of the feature extraction and iris matching steps. The existing algorithm starts with the acquired iris image and determining the expected region of the iris using the K-means clustering technique which is totally region based. Such this method shows good recognition rate but performance of the system degrades in noisy environment. This paper presents the study of iris recognition. Also the challenges are discussed in it.