Face recognition using Siamese neural networks by one shot learning

Abstract: Face recognition is a classical problem in computer vision. With the recent outbreak of covid-19 across the globe, there is much focus on face recognition systems as contact biometric methods are unsafe. To implement a face recognition system, the model must be robust and precise. In this paper, we review the past studies of face recognition. Second, this paper implements a one shot learning facial attendance system. Various network architectures are explored to improve the accuracy.