Iris Identification Using Two Activation Function Wavelet Networks

A variety of researches Dealt with the iris identification in different ways and Showed different results. A new system for personal identification based on iris patterns is presented in this paper .We propose to use two activation function wavelet neural network for feature extraction and identification process after segments the image into 32 blocks with (128*128) dimension. The proposed method in this paper involves three steps. First reduced image size using wavelet packet 1-level decomposition , second feature extraction using two activation function wavelet neural network and finally identification using trained data and correlation.