DocumentCode :
2236986
Title :
An Efficient Approach to Multimodal Person Identity Verification by Fusing Face and Voice Information
Author :
Cheng, Hsien-Ting ; Chao, Yi-Hsiang ; Yeh, Shih-Liang ; Chen, Chu-Song ; Wang, Hsin-Min ; Hung, Yi-Ping
Author_Institution :
Inst. of Inf. Sci., Acad. Sinica, Taipei
fYear :
2005
fDate :
6-6 July 2005
Firstpage :
542
Lastpage :
545
Abstract :
This paper presents an effective method to combine speech recognition, speaker verification and face verification for biometric authentication. Our method provides a light-weight enrollment process and an easy-to-use verification interface. A multi-face/single-sentence strategy is used to combine voice and face verification modules, and support vector machine is employed for information fusion. Experimental results show that our method can achieve high verification accuracies
Keywords :
biometrics (access control); face recognition; sensor fusion; speaker recognition; support vector machines; biometric authentication; face information fusion; light-weight enrollment process; multimodal person identity verification; speaker verification; speech recognition; support vector machine; verification interface; voice information fusion; Authentication; Biometrics; Chaos; Computer science; Feature extraction; Image sequences; Information science; Speech recognition; Support vector machine classification; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-9331-7
Type :
conf
DOI :
10.1109/ICME.2005.1521480
Filename :
1521480
Link To Document :
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