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Type: Artigo de evento
Title: Can Face Anti-spoofing Countermeasures Work In A Real World Scenario?
Author: De Freitas Pereira T.
Anjos A.
De Martino J.M.
Marcel S.
Abstract: User authentication is an important step to protect information and in this field face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerable to spoofing attacks using low-tech equipments. This article assesses how well existing face anti-spoofing countermeasures can work in a more realistic condition. Experiments carried out with two freely available video databases (Replay Attack Database and CASIA Face Anti-Spoofing Database) show low generalization and possible database bias in the evaluated countermeasures. To generalize and deal with the diversity of attacks in a real world scenario we introduce two strategies that show promising results. © 2013 IEEE.
Editor: IEEE Computer Society
Rights: fechado
Identifier DOI: 10.1109/ICB.2013.6612981
Date Issue: 2013
Appears in Collections:Unicamp - Artigos e Outros Documentos

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