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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multimodal recognition fusing ear and profile face based on KPCA


    Contributors:
    Xu Xiaona, (author) / Zhao Yue, (author) / Pan Xiuqin, (author)


    Publication date :

    2008-12-01


    Size :

    626975 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Image preprocessing study on KPCA-based face recognition [9813-6]

    British Library Conference Proceedings | 2015


    Multimodal recognition using face profile and ear

    Li Yuan, / Zhichun Mu, / Ying Liu, | IEEE | 2006


    Face recognition fusing global and local features

    Yu, W.-w. / Teng, X.-l. / Liu, C.-q. | British Library Online Contents | 2006


    Face recognition by fusing thermal infrared and visible imagery

    Bebis, G. / Gyaourova, A. / Singh, S. et al. | British Library Online Contents | 2006