Fusion of face and voice using the Dempster-Shafer Theory for person verification

Fusion of face and voice using the Dempster-Shafer Theory for person verification

In this paper, an algorithm for person verification is proposed. Dempster-Shafer Theory is used for face and voice fusion at the score level in order to overcome the limitations of unimodal biometric systems. Our experiments on the publicly available scores of the XM2VTS Benchmark database show a co...

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Bibliographische Detailangaben
Hauptverfasser: Mezai, L., Hachouf, F., Bengherabi, M.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Benchmark testing
Biometrics
Face
Protocols
Speech
Training
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Beschreibung
Zusammenfassung:In this paper, an algorithm for person verification is proposed. Dempster-Shafer Theory is used for face and voice fusion at the score level in order to overcome the limitations of unimodal biometric systems. Our experiments on the publicly available scores of the XM2VTS Benchmark database show a consistent improvement in performance compared to each individual modality. We have compared our approach with the sum rule and the likelihood ratio based fusion.
DOI:10.1109/WOSSPA.2011.5931424