Multimodal Recognition Fusing Ear and Profile Face Based on KPCA

摘要：

Ear recognition has been proved to be a promising subject in biometrics authentication. The fusion of ear and face biometrics could fully utilize their connection relationship, and possess the merit of recognizing persons without their cooperation because of ear’s special physiological structure and location. In this paper a feature fusion method based on KPCA is proposed and applied to multimodal recognition fusing ear and profile face. With the method, the associated feature vectors of ear and profile face are established for the following classification. The experimental results show that the method is efficient for feature fusion, and the multimodal recognition based on ear and profile face performs better than ear or profile face unimodal biometric recognition.

作者: Xu Xiaona Zhao Yue Pan Xiuqin

作者单位: School of Information Engineering Central University for Nationalities Beijing,100081,PRC

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 593-597

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）