Multimodal recognition using face and ear

Unimodal biometric systems have to contend with a variety of problems and sometimes cannot satisfy application requirements.In this paper,a novel method of multimodal recognition using frontal face and ear was proposed.Kernel Fisher Discriminant Analysis was used for ear recognition,face recognition and the multimodal recognition.The multimodal recognition was studied on the image level fusion and feature level fusion.The experimental results from using USTB ear database and ORL face database show that the multimodal recognition outperforms the unimodal biometric recognition.This work shows that multibiometric system can increase the accuracy of overall system recognition,and provides an effective approach of non-intrusive biometric recognition.