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BIOSIG 2021 Special issue on efficient, reliable, and privacy‐friendly biometrics.
- Source :
- IET Biometrics (Wiley-Blackwell); Sep2022, Vol. 11 Issue 5, p355-358, 4p
- Publication Year :
- 2022
-
Abstract
- The proposed network provides a quantitative similarity score for any two given faces and has been applied to large-scale face datasets to identify similar face pairs. 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. ACKNOWLEDGEMENTS The Guest Editorial Board would like to thank all of the authors for their contributions to this Special Issue: "BIOSIG 2021 Special Issue on Efficient, Reliable, and Privacy-Friendly Biometrics". [Extracted from the article]
- Subjects :
- HUMAN facial recognition software
DEEP learning
ARTIFICIAL neural networks
BIOMETRY
Subjects
Details
- Language :
- English
- ISSN :
- 20474938
- Volume :
- 11
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- IET Biometrics (Wiley-Blackwell)
- Publication Type :
- Academic Journal
- Accession number :
- 159725996
- Full Text :
- https://doi.org/10.1049/bme2.12101