Analysis of Iris Signature

Abstract

Iris recognition system gives automatic identification of an individual which depends upon iris pattern of the eye. Iris recognition system is most reliable, accurate and unique method for identification of individuals. Several other methods are also available for recognition, but iris system is broadly used because the iris pattern of each eye is unique in nature. John Daugman first used this method to identify successfully the identity of an individual. The objective of this work presented here is to obtain the iris template of an eye image and verify the template obtained from it. For performing this, CASIA database has used. For generating iris template of the eye, iris segmentation, normalization, feature extraction and matching are used. All these process are very important to obtain the iris signature. Initially, we have taken an image apply Hough transform to obtain iris circle parameters. Segmentation is used to obtain segmented iris image, and it will later locate boundaries of the iris, and then normalization is used which gives a rectangular dimensionless iris output. Finally for obtaining iris signature, 2D Gabor filter is used to extract the phase information from the iris. The Hamming distance is used for matching purpose. In this project, we used MATLAB framework for coding. Iris template is obtained by applying above methods which is in the binary and obtained from MATLAB. The system performs with 1180 image from CASIA database.