Web: http://arxiv.org/abs/2110.05044

Jan. 28, 2022, 2:10 a.m. | Vedrana Krivokuća Hahn, Sébastien Marcel

cs.CV updates on arXiv.org arxiv.org

This paper presents a survey of biometric template protection (BTP) methods
for securing face templates in neural-network-based face recognition systems.
The BTP methods are categorised into two types: Non-NN and NN-learned. Non-NN
methods use a neural network (NN) as a feature extractor, but the BTP part is
based on a non-NN algorithm applied at image-level or feature-level. In
contrast, NN-learned methods specifically employ a NN to learn a protected
template from the unprotected face image/features. We present examples of
Non-NN …

arxiv cv evaluation face recognition network neural survey systems

More from arxiv.org / cs.CV updates on arXiv.org

Data Scientist

@ Fluent, LLC | Boca Raton, Florida, United States

Big Data ETL Engineer

@ Binance.US | Vancouver

Data Scientist / Data Engineer

@ Kin + Carta | Chicago

Data Engineer

@ Craft | Warsaw, Masovian Voivodeship, Poland

Senior Manager, Data Analytics Audit

@ Affirm | Remote US

Data Scientist - Nationwide Opportunities, AWS Professional Services

@ Amazon.com | US, NC, Virtual Location - N Carolina