Face based recognition algorithms: The use of uncertainty in the classification

Abstract

The paper proposes a new approach to a decision making process based on face recognition algorithms. The proposed approach is based on the use of the uncertainty on the information used in the classification process to provide suitable level of confidence to the system output. As a case study, it is applied to a specific face recognition classification algorithm, namely the one based on Linear Discrimination Analysis, but it can be easily extended to other classification algorithms even dealing with other applications.