Novel Approach of Accurate Iris Localisation Form High Resolution Eye Images Suitable for Fake Iris Detection

High resolution images not only provide high recognition rate but also useful in safeguarding the iris recognition system from fake iris attack. To safeguard the iris recognition system against fake irises, one of the very popular technique is to detect the change in pupil size due to change in illumination. Many of existing methods assume that iris and pupil are circular or elliptical in nature , which is seldom true but they are actually of irregular shapes. Such methods fails in accurate iris segmentation from high resolution images. because these images shows low intensity gradient across the sclera-iris boundary and iris-pupil boundary. This paper presents a novel approach of accurate iris segmentation using two images captured at two different intensities. This method is completely robust for fake iris detection because it exploits the pupil dynamics for iris localisation. The success rate of accurate iris localisation from an high resolution image (UPOL database) is 99.45% and that from moderate resolution images (UBIRIS database) is 100%. Only occlusion-free images of UBIRIS database has been considered.