The Indonesian Journal of Computer Science
Vol. 12 No. 3 (2023): The Indonesian Journal of Computer Science

Anti-spoofing methods in face recognition

Bezas, Konstantinos (Unknown)
Foteini Filippidou (Unknown)



Article Info

Publish Date
30 Jun 2023

Abstract

Biometric data are personal data that result from specialized processing techniques and are associated with physical, biological, or behavioral characteristics of a natural person that allow for or confirm their unquestionable identification. These characteristics or identifiers are permanent and unique. This paper refers to the biometric characteristics used by systems, their mode of operation, and the categories they are distinguished in. The types of attacks that they may be subjected to are then analyzed, along with the anti-spoofing methods proposed in some studies specifically for systems that use the face as a biometric feature. Finally, numerical data is presented regarding the scientific interest that the topic of anti-spoofing methods in biometric systems has shown in the last decade.

Copyrights © 2023






Journal Info

Abbrev

ijcs

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering Engineering

Description

The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information ...