Complex common vector for multimodal biometric recognition

A novel multimodal biometric recognition algorithm based on a complex common vector (CCV) is proposed. The CCV generalises the common vector method for the complex field to perform feature fusion and classification. Theoretical analysis proves that the CCV could produce a unique common vector for every fusion feature in a given class. The iris and the face are used as two distinct biometric modals to test the algorithm. Experimental results show that the proposed algorithm achieves much better performance than other conventional multimodal biometric algorithms.