Person recognize using Elman neural network by face image

The purpose of this system is to recognize aperson`s using face image, and the uses of this system at airports and other offices which use surveillance cameras that take pictures of views and different angles and there are qualities in every person face which do not change and are not affected by the way the picture is taken. In this paper, the remittance waves (Wavelet)are used in order to withdraw more accurate details of the image, and then features were extracted based on the seven resolution and the four statistical properties (location measurement mean, standard deviation and skewness and kurtosis), which address the problems of image capture by the surveillance cameras.This system has been in the database configuration to many people's each person has seven different images in order to configure a database of training. I have been using Elman neural network as a tool to identify people, were trained network (Elman) on the line ratio(0.001)and the number of training courses(1079)and by know(92%). And used the language of MATLAB R2010a in this system with a database of the type of Microsoft Excel.