Abstract
In the thesis, a new method of using AAM to extract regions of age features is proposed. The goal of this thesis is to extract exactly the regions of age features. Our system consists of four modules: (1) Detecting people by using Adaboost. (2) Searching facial features by using AAM. (3) Finding regions of age features by using facial features. (4) Age estimation by using SVM. The experimental results will demonstrate that the proposed region of age features can be applied to estimate the age of a facial image. We testing our system by using Intel C2D 6300 CPU and the frame size is 200*240 pixels. It requires 3~4 s to fitting a face and the recognition accuracy is about 72.52% in our system.