Linear discriminant analysis of MPF for face recognition

In face recognition literature, major approaches based on holistic templates and geometrical local features have been taken. Both approaches have certain advantages and disadvantages. We explore a method which integrates the above two approaches. Among many specific systems, we select LDA (linear discriminant analysis) and MPF (matching pursuit filter) as the representative from the first type approach and the second type approach respectively. We treat MPF as the feature representation of the original input and LDA as the pattern classifier. We compare the performances of MPF system, LDA system and the hybrid LDA-MPF system for face recognition