Title :
Feature Level Fusion of Speech and Face Image Based Person Identification System
Author :
Sugiarta, Y B Gunawan ; Bambang, Riyanto ; Hendrawan ; Suhardi
Author_Institution :
Electro Tech., State Polytech. Bandung, Bandung, Indonesia
Abstract :
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.
Keywords :
biometrics (access control); face recognition; feature extraction; image fusion; speech recognition; trees (mathematics); wavelet transforms; VidTIMIT database; dual tree complex wavelet transform speech; face image features; feature level fusion; multibiometric system; person identification system; speech features; Application software; Biometrics; Computer applications; Delay; Discrete wavelet transforms; Feature extraction; Filter bank; Impedance matching; Informatics; Speech; face image; feature; fusion; identification; multibiometric; speech;
Conference_Titel :
Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
Conference_Location :
Bali Island
Print_ISBN :
978-1-4244-6079-3
Electronic_ISBN :
978-1-4244-6080-9
DOI :
10.1109/ICCEA.2010.196
