关键词: 人耳识别, 多模态识别, 特征融合, 典型相关分析, 核方法, 关联特征

Abstract:

In order to implement the non-intrusive recognition, a multi-modality recognition method of biometric feature is proposed based on the fusion of ear and face profile information. As there is a special physiological location relationship between ear and eye, only the profile-view face images need to be captured for recognition. By introducing the kernel trick to the canonical correlation analysis （CCA） , a feature fusion method based on kernel CCA （KCCA） is established and is then used to capture the associated feature of ear and eye for classification and recognition. Simulated results indicate that the proposed feature fusion method based on KCCA is effective, and that the multi-modality recognition based on ear and face biometrics is of higher performance than the unimodal bio- metric recognition based on ear or face profile. Thus, there comes an effective approach to the non-intrusive biometric recognition.

Key words: ear recognition, multi-modality recognition, feature fusion, canonical correlation analysis, kernel trick, associated feature