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.

PDF | DOI: 10.17148/IJARCCE.2022.11480

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