Face Recognition Algorithm Based on AAM and FNN

Active appearance model is a classical feature extraction method, this feature point localization method is established based on the parametric statistical model, and it is widely applied in the face recognition areas. The AAM algorithm is used to localize the feature point of human face, on the basis of this, an optimal method is used to improve AAM fitting performance. The fuzzy neural network (FNN) is used for face recognition and classification. The experiment is implemented based on the ORL database, the simulation results show that improved face recognition method is very effective, and the accurate face recognition rate is improved greatly.