Iris Recognition based on Wavelet Transform and Probabilistic Neural Network
Iris recognition is one of the main applications of machine vision that is widely attended in recent years that can be used in ID validity, identity recognition and so on. In this paper, the authors propose an iris recognition system using wavelet decomposition method and Probabilistic Neural Network (PNN) to analyze the pattern of a human iris. In the feature extraction part, unrolled iris images are filtered using wavelet transform for four times. Iris recognition is then performed by using PNN. The recognition rate of 98.37% is achieved on CASIA database.