In this paper we present a face aging model as an nonlinear process based on the relationship of the local features and the multiresolution structure so as to show prominent personality features,to map the aging process of most similar local features to the target image by parameter compensation, and finally it correspond to the ordinary rules and exhibits personality that is the fusion of global and local aging results. The experimental results show that the nonlinear simulating face aging process based on similarity is flexible and effective.