Theoretical Analysis and Experimental Study on Multimodal Biometric

Multimodal biometric could overcome the drawbacks of single biometric by combining two or more biometric traits for personal identity verification. The theory and experiments of multimodal biometric were studied based on hand vein, iris and fingerprint. Simple Average and Weighting Average fusion algorithm, the classical information fusion methods, were analyzed and the constraint conditions for improving the recognition accuracy had been deduced. Biometric recognition experiments were performed finally to verify the theory deduction results. It is significant to future research on multimodal biometric and provides basis for developing multibiometric systems.