Biometrics in the Time of Pandemic: 40 Degradation can be Reduced to 2

01/03/2022

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by   Leonardo Queiroz, et al.

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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 learning approaches in the cross-spectral domain.