Title :
Fusion of face and voice using the Dempster-Shafer Theory for person verification
Author :
Mezai, L. ; Hachouf, F. ; Bengherabi, M.
Author_Institution :
Univ. Mentouri Constantine, Constantine, France
Abstract :
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.
Keywords :
biometrics (access control); face recognition; inference mechanisms; speaker recognition; uncertainty handling; Dempster-Shafer theory; XM2VTS benchmark database; face fusion; person verification; unimodal biometric systems; voice fusion; Benchmark testing; Biometrics; Databases; Face; Protocols; Speech; Training;
Conference_Titel :
Systems, Signal Processing and their Applications (WOSSPA), 2011 7th International Workshop on
Conference_Location :
Tipaza
Print_ISBN :
978-1-4577-0689-9
DOI :
10.1109/WOSSPA.2011.5931424
