The study of multimodal recognition based on ear and face

Because of earpsilas special physiological structure and location, it is reasonable to combine ear with profile face for recognition in such scenarios as frontal face images are not available. First, only the face profile-view images are captured for recognition. Then according to the algorithm of canonical correlation analysis, a kind of associated feature based on ear and face was proposed for classification and personal identity recognition. The experimental results show that multimodal recognition fusing ear and profile face results in improvement over either ear or profile face unimodal biometric recognition.