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

Volume

2

fYear

2010

fDate

19-21 March 2010

Firstpage

221

Lastpage

225

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICCEA.2010.196

Filename

5445593