| Several systems require authenticating a person before giving access to their resources. Biometrics has been long known to recognize persons based on their physical and behavioral characteristics. Face recognition is one such biometrics; it has received a considerable attention in recent years both from the industry and the research community. But face recognition is susceptible to variations in pose, light intensity, expression, etc. In this work, we propose to develop a robust pose invariant face recognition system using different linear subspace techniques. |
