Abstract
Challenges in automatic face recognition can be classified in several categories such as illumination, image quality, expression, pose, aging, and disguise. In this chapter, the authors focus on recognizing face images with disguise variations. Even though face recognition with disguise variations is a major challenge, the research studies on this topic are limited. In this study, first disguise variations are defined followed by an overview of the existing databases used for disguise analysis. Next, the studies that are dedicated to the impact of disguise variations on existing face recognition techniques are introduced. Finally, a collection of several techniques proposed in state-of-the-art which are robust against disguise variations is provided. This study shows that disguise variations have a significant impact on face recognition; hence, more robust approaches are required to address this important challenge.