A Study of Iris Recognition

Abstract

Iris recognition is considered to be the most reliable and accurate biometric identification system available. Iris recognition system captures an image of an individual person’s eye, than the image of iris is meant for the further segmentation and normalization for extracting its feature.Segmentation is used for the localization of the correct iris region in the particular portion of an eye and it should be done accurately and correctly to remove the eyelids, eyelashes, reflection and pupil noises present in iris region. The features of the iris were encoded by convolving the normalize iris region with 1D Log-Gabor filters and phase quantizing the output in order to produce a bit-wise biometric template. The Hamming distance was chosen as a matching metric, which gave the measure of how many bits disagreed between the templates of the iris.