DocumentCode :
3017601
Title :
Score-Level Fusion in Biometric Verification
Author :
Alsaade, Fawaz ; Zahrani, Mohammed ; Alghamdi, Turki
Author_Institution :
Coll. of Comput. Sci. & Inf., Technol. King Faisal Univ., Alhassa, Saudi Arabia
fYear :
2013
fDate :
2-5 July 2013
Firstpage :
193
Lastpage :
197
Abstract :
This paper presents and details the investigations into the effectiveness of various score level fusion approaches in both multi-sample and multimodal biometric systems. Experimental investigations are conducted using face and speech modalities. The scores for face and voice biometrics are based on the use of different features extracted from the XM2VTS database. These scores are provided by idiap research institute. Experimental results demonstrated that a higher performance can be achieved by applying the fusion at multimodal level.
Keywords :
audio databases; biometrics (access control); face recognition; feature extraction; image fusion; speech processing; visual databases; IDIAP research institute; XM2VTS database; biometric verification; face biometrics; face modality; feature extraction; multimodal biometric systems; multisample biometric system; score-level fusion approach; speech modality; voice biometrics; Authentication; Biometrics (access control); Databases; Face; Feature extraction; Speech; Support vector machines; Identification; biometrics; fusion; score level;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometrics and Security Technologies (ISBAST), 2013 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-5010-7
Type :
conf
DOI :
10.1109/ISBAST.2013.34
Filename :
6597689
Link To Document :
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