A Comparative Study of Face Recognition Using Improved AAM, PCA and ICA via Feret Date Base
Face identification is a popular research area where there are different methods studied in the literature. An Active Appearance Model (AAM) based feature extraction in geometrical illumination-invariant matching approach is studied in details, to enhance invariant recognition of human faces and analysis the face verification and identification performance. This paper proposed to develop a general model of pattern appearance that can be used to detect and classify patterns from face images. A digital camera integrated with computer based software designed was built to capture the face and compare it with the faces stored in the FacE REcognition Technology (FERET) database.