Libraries at University of Nebraska-Lincoln

 

Date of this Version

10-12-2020

Abstract

Face Recognition Systems are used widely in all areas as a medium of authentication, the ease of implementation and accuracy provides it with a broader scope. The face recognition systems are vulnerable to some extent and are attacked by performing different types of attacks using a variety of techniques. The term used to describe the measures taken to prevent these types of attacks is known as face anti spoofing. Research has been carried on since decades to design systems that are robust against these attacks. The focus of the work in this paper is to explore the area of face anti spoofing, research done in terms of quantitative analysis and its impact. The keyword analysis table indicates face recognition as a widely used keyword followed by biometrics and face anti spoofing as per the Scopus dataset search. The citation analysis indicates that texture based systems have contributed majorly for Face anti spoofing detection. The Bibliometric analysis done in this paper tends to provide some future research directions in the area of Face anti spoofing analyse the trends of research done.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.