Semi-supervised techniques for improving the performance of multiple classifier systems and personal recognition systems using biometric traits

In this paper, some research activities carried out by the Pattern Recognition and Applications Group of the University of Cagliari are presented. From the methodological viewpoint, the research activities of the group have been focused since its foundation on the field of pattern recognition. In this paper, we describe some research activities with particular reference to the development of semi-supervised algorithms applied to multiple classifier systems. From the viewpoint of applied research, the group is currently involved in the development of semi-supervised techniques for security applications. In this paper, we focus on the personal authentication/identification through biometrics. These research activities are currently funded by several contracts and grants from private firms and government agencies.