Publikationen

Autor	Sequeira, Ana Filipa; Gomez‐Barrero, Marta; Damer, Naser; Lobato Correia, Paulo
Datum	2022
Abstrakt	This special issue of IET Biometrics, "BIOSIG 2021 Special Issue on Efficient, Reliable, and Privacy-Friendly Biometrics", has as starting point the 2021 edition of the Biometric Special Interest Group (BIOSIG) conference. This special issue gathers works focussing on topics of biometric recognition put under the new light of fostering the efficiency, reliability and privacy of biometrics systems and methods. The "BIOSIG 2021 Special Issue on Efficient, Reliable, and Privacy-Friendly Biometrics" issue contains 12 papers, several of them being extended versions of papers presented at the BIOSIG 2021 conference, dealing with concrete research areas within biometrics such as Presentation Attack Detection for Face and Iris, Biometric Template Protection Schemes and Deep Learning techniques for Biometrics.
ISSN	2047-4938
Projekt	Next Generation Biometric Systems
Url	https://publica.fraunhofer.de/handle/publica/428419

BIOSIG 2021 Special issue on efficient, reliable, and privacy-friendly biometrics