A Multi-modal Authentication Method Based on Human Face and Palmprint

Recent years, the biometric technology attracts more and more people´s attention. However, the single-modal biometric technology is difficult to meet the higher security needs and multi-modal biometric technology gradually becomes the mainstream of biometrics. In this paper, face and palmprint biological characteristics are used for recognition. Gabor transform and Independent Component Analysis (ICA) which is rarely used in palmprint recognition are used to extract their features. Face and palmprint features can effectively complement each other. The characteristics of the two modals features are fused in feature level with weights and experimental results show that the combined effect is better than single-modal state.