  In this study of the face recognition on masked versus unmasked faces
generated using Flickr-Faces-HQ and SpeakingFaces datasets, we report 36.78%
degradation of recognition performance caused by the mask-wearing at the time
of pandemics, in particular, in border checkpoint scenarios. We have achieved
better performance and reduced the degradation to 1.79% using advanced deep
learning approaches in the cross-spectral domain.

Computer Vision and Pattern Recognition;Artificial Intelligence