Abstract
Nowadays COVID-19 is spreading everywhere which has badly affected the countries from social as well as economical perspectives. According to SOP people have to maintain social distancing, use face masks and avoid biometric devices for attendance in order to prevent the coronavirus. Several techniques have been developed in order to maintain the attendance in Covid-19 pandemic by considering the precautions to reduce the spread of coronavirus. This paper provides a review of the biometric techniques such as face recognition, palm recognition, face mask detection, face recognition, and iris detection techniques adopted in COVID-19 to maintain/mark attendance in organizations/institutes. However, the challenges of the Covid-19 techniques also are part of this paper that highlights the issues in current techniques. The prime focus of this study is to differentiate biometric methods for researchers or users to decide which tools are better for their requirements.
Published Version (Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal for Electronic Crime Investigation
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.