Affiliation:
1. Department of BCA, School of CS&IT, Jain University, India
2. School of CS&IT, Jain University, India
Abstract
Today, COVID-19 is one of the most severe issues that people are grappling with. Half of the faces are hidden by the mask in this instance. The region around the eyes is usually the sole apparent attribute that can be used as a biometric in these circumstances. In the event of a pandemic, the three primary biometric modalities (facial, fingerprint, and iris), which commonly enable these tasks, confront particular obstacles. One option that can improve accuracy, ease-of-use, and safety is periocular recognition. Several periocular biometric detection methods have been developed previously. As a result, periocular recognition remains a difficult task. To overcome the problem, several algorithms based on CNN have been implemented. This chapter investigated the periocular region recognitions algorithms, datasets, and texture descriptors. This chapter also discuss the current COVID-19 situation to unmask the masked faces in particular.
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