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Feature Level Fusion of Speech and Face Image Based Person Identification System

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4 Author(s)
Sugiarta, Y.B.G. ; Electro Tech., State Polytech. Bandung, Bandung, Indonesia ; Bambang, R. ; Hendrawan ; Suhardi

Person identification system that used multiple biometric can improve performance than using a single biometric. This paper presents feature level fusion of dual tree complex wavelet transform speech and face image features for person identification system. Results of experiments using a VidTIMIT database presented to show the identification rate of multibiometric system more improved compared with single biometric system.

Published in:

Computer Engineering and Applications (ICCEA), 2010 Second International Conference on  (Volume:2 )

Date of Conference:

19-21 March 2010