Feature Level Fusion of Speech and Face Image Based Person Identification System

Person identification system that used multiple biometric can improve performance than using a single biometric. This paper presents feature level fusion of dual tree complex wavelet transform speech and face image features for person identification system. Results of experiments using a VidTIMIT database presented to show the identification rate of multibiometric system more improved compared with single biometric system.