A novel coupled metric learning method and its application in degraded face recognition

Abstract

The coupled metric learning is a novel metric method to solve the matching problem of the elements in different data sets. In this paper, we improved the supervised locality preserving projection algorithm, and added within-class and between-class information of this algorithm to coupled metric learning, so a novel coupled metric learning method is proposed. This method can effectively extract the nonlinear feature information, and the operation is simple. The experiments based on two face databases are performed. The results show that, the proposed method can get higher recognition rate in low-resolution and fuzzy face recognition, and can reduce the computing time; it is an effective metric method. © Springer International Publishing 2013.