Multimodal biometric authentication based on score level fusion using support vector machine

• Autorzy: Wang F. , Han J.
• Języki publikacji: EN

Abstrakty

EN

Fusion of multiple biometrics for human authentication performance improvement has received considerable attention. This paper presents a novel multimodal biometric authentication method integrating face and iris based on score level fusion. For score level fusion, support vector machine (SVM) based fusion rule is applied to combine two matching scores, respectively from Laplacianface based face verifier and phase information based iris verifier, to generate a single scalar score which is used to make the final decision. Experimental results show that the performance of the proposed method can bring obvious improvement comparing to the unimodal biometric identification methods and the previous fused face-iris methods.

Słowa kluczowe

EN

face; iris; score level fusion; support vector machine (SVM)

• Wydawca: Stowarzyszenie Elektryków Polskich ; Polska Akademia Nauk ; Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
• Czasopismo: Opto-Electronics Review
• Rocznik: 2009
• Tom: Vol. 17, No. 1
• Strony: 59--64
• Opis fizyczny: Bibliogr. 18 poz.

Twórcy

autor

Wang F.

autor

Han J.

• School of Electronics and Information Engineering, Xi'an Jiaotong University, 710049 Xi'an, China,

Bibliografia

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