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Erschienen in:
2008 | OriginalPaper | Buchkapitel
A Robust Authentication System Using Multiple Biometrics
verfasst von : Md. Maruf Monwar, Marina Gavrilova
Erschienen in: Computer and Information Science
Verlag: Springer Berlin Heidelberg
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In this work, a multibiometric system has been developed to overcome the drawbacks associated with monomodal biometric systems, such as noise, intra-class variability, distinctiveness, non-universality and spoof attacks. Information from three different Fisher’s Linear Discriminant driven monomodal experts based on face, ear and signature biometric traits are combined through decision level fusion method. AND/OR, majority voting, weighted majority voting and behavioural knowledge space approaches of decision level fusion method are examined to achieve a higher recognition accuracy. Experimental results indicate that fusing information from multiple biometric traits can results in higher recognition rates. The system can be a contribution to homeland security or other intelligence departments.