Human face aging based on active appearance model using proper feature set

In this paper, a simulation of the human face evolution from youth to old age is presented. work, goal maintain person's appearance and accurately estimate at target age; in such way that simulated should be realistic have texture characteristics age. To achieve goal, number feature points their arrangement on are very important. First, we suggest proper points. Then, using active model (AAM) method presented model, templates obtained as representative different groups. unique geometric input apply these template, proposed point pattern MLS been used. having template contain face, steps changing reach Finally, results survey, two methods recognition real image (separately for man woman images), show an average 80.77% (male images) 81.36% (female correct answers participants Poll.