Impact on Biometric Identification Systems of COVID-19

COVID-19 has had an inevitable impact on the daily life of people in 2020. Changes in behavior such as wearing masks have a considerable impact on biometric systems, especially face recognition systems. When people are aware of this impact, a comprehensive evaluation of this phenomenon is lacking. The purpose of this paper is to qualitatively evaluate the impact of COVID-19 on various biometric systems and to quantitatively evaluate face detection and recognition. The experimental results show that a real-world masked face dataset is essential to build an effective face recognition-based biometric system.

Automated summary

COVID-19 has inevitably impacted the daily lives of people in 2020, especially in terms of changes in behavior like wearing masks, affecting biometric systems, particularly face recognition systems. This paper aims to qualitatively evaluate the impact of COVID-19 on various biometric systems and quantitatively evaluate face detection and recognition, showing that a real-world masked face dataset is crucial for an effective face recognition-based biometric system.