• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. BIOSIG 2021 Special issue on efficient, reliable, and privacy-friendly biometrics
 
  • Details
  • Full
Options
2022
Editorial
Title

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

Abstract
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.
Author(s)
Sequeira, Ana Filipa
INESC TEC
Gomez‐Barrero, Marta
Hochschule Ansbach
Damer, Naser  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Lobato Correia, Paulo
Universidade Tecnica de Lisboa -UTL-, Instituto Superior Tecnico -IST-  
Journal
IET biometrics  
Project(s)
Next Generation Biometric Systems  
Funder
Bundesministerium für Bildung und Forschung -BMBF-
Open Access
File(s)
Download (339.2 KB)
Rights
CC BY-NC-ND 4.0: Creative Commons Attribution-NonCommercial-NoDerivatives
DOI
10.1049/bme2.12101
10.24406/publica-465
Additional link
Full text
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Lead Topic: Digitized Work

  • Lead Topic: Smart City

  • Lead Topic: Visual Computing as a Service

  • Research Line: Computer vision (CV)

  • Research Line: Human computer interaction (HCI)

  • Research Line: Machine Learning (ML)

  • Biometrics

  • Morphing attack

  • Face recognition

  • Deep learning

  • Machine learning

  • CRISP

  • ATHENE

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024