Multimodal recognition using ear and face profile based on CCA
基于CCA的人耳和侧面人脸特征融合的身份识别*

The fusion of ear and face biometrics could fully utilize their connection relationship of physiological location, and possessed the advantage of recognizing people without their cooperation. First, this method used the face profile images including ear part for recognition. Then according to the algorithm of canonical correlation analysis(CCA),proposed a kind of associated feature based on ear and face profile for classification and recognition. The result of experiment shows that the recognition rate is higher than that of the recognition adopting the single biometrics.