Multi-biometric Fusion for Driver Authentication on the Example of Speech and Face

Nowadays biometrics becomes an important field in IT security, safety and comfort research for automotive. Aims are automatic driver authentication or recognition of spoken commands. In this paper an experimental evaluation of a system is presented which uses a fusion of three biometric modalities to verify the authorized drivers out of a limited group of potential persons such as a family or small company which is a common use case for automotive domain. The goal is to show the tendency of biometric verification performance in such a scenario. Therefore a multi-biometric fusion is carried out based on biometric modalities face and voice in combination with the body weight. The fusion of the three modalities results in a relative improvement of 140% compared to the best individual result with regard to the used measure, the equal error rate.

• Type: Conference
• Year: 2009
• Where: COST
• Authors: Tobias Scheidat, Michael Biermann, Jana Dittmann, Claus Vielhauer, Karl Kümmel
• Keywords: Automatic Driver Authentication, Biometric Modalities, Biometrics, COST 2009, Multimedia