Facial Biometric Templates and Aging: Problems and Challenges for Artificial Intelligence

The performance of face recognition and/or authentication systems is greatly affected by within-person variations encountered in human faces. Within person facial variations distort the appearance of faces leading to inconsistencies between facial features stored in templates and features derived from a face, of the corresponding subject, captured at a different instance. For this reason, a considerable amount of effort has been devoted to the development of methods for eliminating within person-variations during face recognition/authentication. Among all types of within-person variations encountered, aging-related variations display unique characteristics that make the process of dealing with this type of variation a challenging task.