Color Component Manifold Feature Fusion for Face Recognition

The manifold structure analysis offace image components in RGB color space was given in the paper. A novel face recognition method, which integrates manifold learning technique with the color information, was proposed. In this method, locally linear embedding (LLE) was used for feature extraction. Afterward normalization and fusion was done for the extracted features. LDA was used for improving classification ability. The kNN classifier performed face recognition. The experiment results have shown that the proposed method can improve the performance of both the Fishface intensity image method and the single color component method for face recognition.