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Assessing the Quality of Swipe Interactions for Mobile Biometric Systems

Santopietro, Marco, Guest, Richard, Vera-Rodriguez, Ruben, Morales, Aythamy, Acien, Alejandro (2020) Assessing the Quality of Swipe Interactions for Mobile Biometric Systems. In: IJCB 2020 IEEE/IAPR International Joint Conference on Biometrics. . (In press) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:83434)

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Quality estimation is a key study in biometrics, allowing optimisation and improvement of existing authentication systems by giving a prediction on the model performance based on the goodness of the sample or the user. In this paper, we propose a quality metric for swipe gestures on mobile devices. We evaluate a quality score for subjects on enrollment and for swipe samples, we estimate three quality groups and explore the correlation between our quality score and a state-of-art biometric authentication classifier performance. A further analysis based on the combined effects of subject quality and the amount of enrollment samples is conducted, investigating if increasing or decreasing enrollment size affects the authentication performance for different quality groups. Results are shown for three different public datasets, highlighting how higher quality users score a lower equal error rate compared to medium and low quality users, while high quality samples get a higher similarity score from the classifier

Item Type: Conference or workshop item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.B56 Biometric identification
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Marco Santopietro
Date Deposited: 14 Oct 2020 09:37 UTC
Last Modified: 16 Feb 2021 14:15 UTC
Resource URI: (The current URI for this page, for reference purposes)
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