ABSTRACT
A IRIS recognition system provides automatic identification of an individual based on a unique iris feature. Iris recognition is considered as one of the most unique and exact biometric recognition system. In this paper, we implement a new technique for the development of Iris Recognition System, additionally results has been analyzed and compared with other researches work. We use the reverse biorthogonal 2-D wavelet transform in order to extract the most deterministic patterns in a human’s iris and forms of a feature vector. the quantized vectors compared using the Hamming Distance, and with the proposed approach we have achieved a recognition rate 99.92% with the equal error rate 0.09% which is highest recognition rate ever being achieved in the era.
