Composite vector selection for feature extraction in face recognition

Proposed is a composite vector selection method based on discriminant analysis for face recognition. By measuring the amount of discriminant information in each composite vector, informative composite vectors can be selected. Then, composite features for face recognition are extracted with only the selected composite vectors. The experimental results show that the proposed method results in improved performance.