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USC team develop accurate anti-spoofing

A research team from the University of Southern California (USC) have developed new algorithms that can detect biometric attacks on iris, facial and fingerprint recognition systems with high levels of accuracy.

Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377744/
http://dx.doi.org/10.1016/S0969-4765(20)30089-8
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description A research team from the University of Southern California (USC) have developed new algorithms that can detect biometric attacks on iris, facial and fingerprint recognition systems with high levels of accuracy.
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spelling pubmed-73777442020-07-24 USC team develop accurate anti-spoofing Biometric Technology Today Article A research team from the University of Southern California (USC) have developed new algorithms that can detect biometric attacks on iris, facial and fingerprint recognition systems with high levels of accuracy. 2020 2020-07-23 /pmc/articles/PMC7377744/ http://dx.doi.org/10.1016/S0969-4765(20)30089-8 Text en
spellingShingle Article
USC team develop accurate anti-spoofing
title USC team develop accurate anti-spoofing
title_full USC team develop accurate anti-spoofing
title_fullStr USC team develop accurate anti-spoofing
title_full_unstemmed USC team develop accurate anti-spoofing
title_short USC team develop accurate anti-spoofing
title_sort usc team develop accurate anti-spoofing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377744/
http://dx.doi.org/10.1016/S0969-4765(20)30089-8