Journal Homepage: www.ijcst.org

Abstract – A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. An iris recognition system is a highly secure and confidence biometric identification system. In this paper, the iris recognition system is considered by using a neural network based Feed forward distributed time delay and Hamming Distance (HD). Hough transform is the standard algorithm used for segmenting the iris patterns. Daugman’s rubber sheet model is used for normalization and unwrapping. Gabor filter is used for feature extraction. There are few public and freely available databases. For the purpose of research and development the system is tested on a CASIA database which contains nearly 4500 iris images