Unmasking the Masked: Face Recognition and Its Challenges Using the Periocular Region – A Review

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Author(s): Sheela R. (Department of BCA, School of CS&IT, Jain University, India)and Suchithra R. (School of CS&IT, Jain University, India)
Copyright: 2022
Pages: 20
Source title: Handbook of Research on Technical, Privacy, and Security Challenges in a Modern World
Source Author(s)/Editor(s): Amit Kumar Tyagi (National Institute of Fashion Technology, New Delhi, India)
DOI: 10.4018/978-1-6684-5250-9.ch004

Keywords: Cyber and Network Security / Information Science Reference / Information Security & Privacy / Security & Forensics

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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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Unmasking the Masked: Face Recognition and Its Challenges Using the Periocular Region – A Review

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