Adaptive Biometric Cloud Facial Aging Template Policy - A Time Point Analysis.

In this paper we use Facenet, an open-source machine learning cloud platform to verify biometric facial templates created with the ones already enrolled. Our efforts seek to determine if, for different sample images of different ages when evaluated against our pattern matching algorithm, the template policy changes with the aged images. Whilst our approach may hold true for small data set changes that the template policy does not see any anomalies, all other things being equal, as in the results in the current paper, we argue that the template policy could change if we explore the concerns over a large continuous data set as our next step and treated as independent work to this current paper.