A NEURAL ALGORITHM APPROACH TO IRIS RECOGNITON
虹膜识别中的一种神经算法的研究

Extracted from human iris samples, with the mathematical model of concentric receptive field as the mother function, iris texture are encoded sparsely by wavelet transform whose coefficients are obtained by relaxed neural network. And Hamming Distance between the input iris and the iris database is introduced in decision making. We simulated the whole process of iris recognition on SGI workstation and get reliable results, especially in those images with some certain disturbance.