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2019 | OriginalPaper | Chapter

12. Challenges of Face Presentation Attack Detection in Real Scenarios

Authors : Artur Costa-Pazo, Esteban Vazquez-Fernandez, José Luis Alba-Castro, Daniel González-Jiménez

Published in: Handbook of Biometric Anti-Spoofing

Publisher: Springer International Publishing

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Abstract

In the current context of digital transformation, the increasing trend in the use of personal devices for accessing online services has fostered the necessity of secure cyberphysical solutions. Biometric technologies for mobile devices, and face recognition specifically, have emerged as a secure and convenient approach. However, such a mobile scenario also brings some specific threats, and spoofing attack detection is, without any doubt, one of the most challenging. Although much effort has been devoted in anti-spoofing techniques over the past few years, there are still many challenges to be solved when implementing these systems in real use cases. This chapter analyses some of the gaps between research and real scenario deployments, including generalisation, usability, and performance. More specifically, we will focus on how to select and configure an algorithm for real scenario deployments, paying special attention to use cases involving limited processing capacity devices (e.g., mobile devices), and we will present a publicly available evaluation framework for this purpose.

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Metadata
Title
Challenges of Face Presentation Attack Detection in Real Scenarios
Authors
Artur Costa-Pazo
Esteban Vazquez-Fernandez
José Luis Alba-Castro
Daniel González-Jiménez
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-92627-8_12