Multimodal biometric authentication using quality signals in mobile communications

Abstract

The elements of multimodal authentication along with system models are presented. These include the machine experts as well as machine supervisors. In particular, fingerprint and speech based systems serve as illustration of a mobile authentication application. A novel signal adaptive supervisor, based on the input biometric signal quality, is evaluated. Experimental results on data collected from mobile telephones are reported; they demonstrate the benefits of the proposed scheme.