Discriminative multimodal biometric authentication based on quality measures

Fierrez-Aguilar, JulianEscuela Politecnica Superior, Universidad Autonoma De Madrid, Spain (författare)

A novel score-level fusion strategy based on quality measures for multimodal biometric authentication is presented. In the proposed method, the fusion function is adapted every time an authentication claim is performed based on the estimated quality of the sensed biometric signals at this time. Experimental results combining written signatures and quality-labelled fingerprints are reported. The proposed scheme is shown to outperform significantly the fusion approach without considering quality signals. In particular, a relative improvement of approximately 20% is obtained on the publicly available MCYT bimodal database.

NATURVETENSKAP Data- och informationsvetenskap Datorseende och robotik hsv//swe
NATURAL SCIENCES Computer and Information Sciences Computer Vision and Robotics hsv//eng
Biometrics
Multimodal
Authentication
Verification
Quality
Support vector machine
Fingerprint
Signature
Image analysis
Bildanalys

Ortega-Garcia, JavierEscuela Politecnica Superior, Universidad Autonoma De Madrid, Spain (författare)
Gonzalez-Rodriguez, JoaquinEscuela Politecnica Superior, Universidad Autonoma De Madrid, Spain (författare)
Bigun, Josef,1961-Högskolan i Halmstad,Halmstad Embedded and Intelligent Systems Research (EIS)(Swepub:hh)josef (författare)
Escuela Politecnica Superior, Universidad Autonoma De Madrid, SpainHalmstad Embedded and Intelligent Systems Research (EIS) (creator_code:org_t)

Ingår i:Pattern RecognitionOxford : Pergamon Press38:5, s. 777-7790031-32031873-5142

Av författaren/redakt...: Fierrez-Aguilar, ...; Ortega-Garcia, J ...; Gonzalez-Rodrigu ...; Bigun, Josef, 19 ...

Om ämnet

NATURVETENSKAP: NATURVETENSKAP; och Data och informa ...; och Datorseende och ...

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