A dual-biometric-modality identification system based on fingerprint and EEG

Fei Su, Liwen Xia, Anni Cai, Junshui Ma

Abstract: This paper proposes a dual-biometric-modality personal identification system, which has both outstanding identification performance and effective anti-spoofing property. This dual-modality system represents the first effort to fuse the conventional fingerprint with a novel biométrie modality-Electroencephalogram (EEG). The fusion of these two modalities is achieved at the matching score level. Experimental results show that the highest identification performance is obtained in the dual-modality system, when its performance is compared with those of the systems using these two modalities separately. Furthermore, it is demonstrated that EEG is an appealing complementary modality to enhance the anti-spoofing capability of conventional biometrics-based identification systems.