A face recognition method based on combinational mirror-like odd and even images features

This paper proposes a face recognition method by combining mirror-like odd and even symmetrical images with their component features. First, use the mirror image transform and odd, even decomposition principle to extract odd and even symmetrical images. Second, extract eigenvectors with PCA (or kernel PCA) method of odd and even mirror symmetrical images, respectively. Third, combine the odd and even mirror symmetrical image´s eigenvectors reasonably for face recognition. Experiments with ORL facial database suggest that the proposed method with proper odd and even combination can achieve better recognition rates than the ordinary one.