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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 會議論文  >  Audio-visual information fusion for SVM-based biometric verification

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/13578

    Title: Audio-visual information fusion for SVM-based biometric verification
    Authors: Yan-Ying Chen
    Shang-Hong Lai
    教師: 賴尚宏
    Date: 2005
    Publisher: Institute of Electrical and Electronics Engineers Inc
    Relation: 2005 9th International Workshop on 28-30 May 2005, Page(s):300-303
    Keywords: biometrics
    face recognition
    sensor fusion
    speaker recognition
    support vector machines
    Abstract: The goal of this paper is to develop a reliable multi-modal biometric verification system based on speech and face information. In this paper, we propose two SVM-based multi-modal biometric verification systems. The first system is based on the concatenation fusion with SVM classifier. This method concatenates the features provided by each expert to form a new feature vector. Then the SVM classifier is trained from the concatenated feature vectors for each person and later used for verification. To determine the final verification result from several SVM classification results for many possible paired audio-visual concatenated feature vectors, we present a new scheme for computing confidence weight based on the distance between feature vector and the hyper-plane of the associated SVM model. The final verification is determined from the weighted sum of all the SVM classification results. Experimental results on the same audio-visual database for the three biometric verification systems are given to compare their performance. We show that the proposed SVM-based fusion systems outperform the traditional GMM-based opinion fusion system.
    Relation Link: http://ieeexplore.ieee.org/Xplore/dynhome.jsp
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/13578
    Appears in Collections:[資訊工程學系] 會議論文
    [資訊系統與應用研究所] 會議論文
    [電腦與通訊科技研發中心] 會議論文

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