Periocular Region Recognition—A Brief Survey

ABSTRACT

COVID-19 has ushered in a new era of face masks dominating daily life. Furthermore, facial recognition is ineffective for medical personnel who wear surgical masks. Periocular biometrics is the automatic recognition and classification of a person based on features gathered from the area of the face that surrounds the eye. Analysed and identified various aspects from current work in this comprehensive survey work on periocular biometrics, such as datasets available for periocular regions, biometrics systems available, periocular area detection and segmentation, local and global descriptors, and so on. This research, as predicted, cites current and recent literature to demonstrate the shortcomings of periocular biometrics. This paper also outlined the direction of future periocular recognition studies. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.