Fusion of local normalization and Gabor entropy weighted features for face identification
We propose an entropy weighted strategy over selected Gabor features. We fuse local normalization with Gabor features to improve face identification. Fusion of different features improve face identification relative to cases with no fusion. Our results are compared advantageously on several international face databases. We tested our methods with variable illumination, gesticulation, pose and occlusion.
gabor face identification face recognition borda count entropy-like weighting lbp feret ar frgc 2.0