2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDIFS-1.4
Paper Title FACIAL EXPRESSIONS AS A VULNERABILITY IN FACE RECOGNITION
Authors Alejandro Peña, Aythami Morales, Ignacio Serna, Julian Fierrez, Universidad Autónoma de Madrid, Spain; Àgata Lapedriza, Universitat Oberta de Catalunya, Spain
SessionIFS-1: Biometrics
LocationArea K
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Information Forensics and Security: Biometrics
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract This work explores facial expression bias as a security vulnerability of face recognition systems. Despite the great performance achieved by state-of-the-art face recognition systems, the algorithms are still sensitive to a large range of covariates. We present a comprehensive analysis of how facial expression bias impacts the performance of face recognition technologies. Our study analyzes: i) facial expression biases in the most popular face recognition databases; and ii) the impact of facial expression in face recognition performances. Our experimental framework includes two face detectors, three face recognition models, and three different databases. Our results demonstrate a huge facial expression bias in the most widely used databases, as well as a related impact of face expression in the performance of state-of-the-art algorithms. This work opens the door to new research lines focused on mitigating the observed vulnerability.