An effective iris recognition system based on wavelet maxima nad Gabor filter bank

Iris recognition is a novel technology in the field of biometric feature recognition and has many advantages over other techniques. Iris recognition means to recognize personal identity based on the iris of the person. Compared with other biometric feature recognition methods, this technique is accurate and reliable against artifacts. In this paper we propose a new iris recognition system. The idea proposed uses a multiscale edge detection using wavelet maxima for iris localization followed by a Gabor filter bank decomposition for feature extraction while matching is carried out by computing the Hamming codes of different irises. The algorithms used in this paper are computationally effective, reliable, robust, and the accuracy of the presented work shows that this system is ideal for human recognition applications.