Single modality biometric identification systems exhibit performance that may not be adequate for many security applications. Face and fingerprint modalities dominate the biometric verification/identification field. However, both face and fingerprint can be compromised using counterfeit credentials. Previous research has demonstrated the use of the electrocardiogram (ECG) as a novel biometric. This paper explores the fusion of a traditional face recognition technique with ECG. System performance with multimodality fusion can be superior to reliance on a single biometric, but performance depends heavily on the fusion technique. In addition, a fusion-based system is more difficult to defeat, since an imposter must provide counterfeit credentials for both face and cardiovascular function.


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    Titel :

    Fusing face and ECG for personal identification


    Beteiligte:
    Israel, S.A. (Autor:in) / Scruggs, W.T. (Autor:in) / Worek, W.J. (Autor:in) / Irvine, J.M. (Autor:in)


    Erscheinungsdatum :

    2003-01-01


    Format / Umfang :

    507938 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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