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Face Image Analysis in Mobile Biometric Accessibility Evaluations

Corsetti, Barbara, Sanchez-Reillo, Raul, Guest, Richard, Santopietro, Marco (2019) Face Image Analysis in Mobile Biometric Accessibility Evaluations. In: 2019 International Carnahan Conference on Security Technology (ICCST). . IEEE ISBN 978-1-72811-576-4. (doi:10.1109/CCST.2019.8888437) (KAR id:77297)

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http://dx.doi.org/10.1109/CCST.2019.8888437

Abstract

Smartphones cameras are widely used for biometric authentication purposes. This enables more and more users experience face recognition in different common scenarios (e.g., unlocking phones, banking, access controls). One of its advantages is that face recognition requires low interaction with the systems (by simply looking at the smartphone's screen). Thus, it may be useful for people affected by mobility concerns. For this reason, researchers recently started to conduct mobile biometric evaluations recruiting accessibility populations. The aim is to analyse all those factors that, depending on the users' capabilities, influence the biometrics recognition process. In this paper we focus our attention on sample quality, analysing the face images collected during a mobile biometric accessibility study. Results obtained enable us to understand how the users' accessibility concerns influence the biometric sample quality and discuss possible solutions for eradicating this inconvenience. This assessment had been conducted following the recommendations of the ISO/IEC TR 29794-5.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/CCST.2019.8888437
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: Richard Guest
Date Deposited: 10 Oct 2019 06:40 UTC
Last Modified: 28 Jan 2020 04:12 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/77297 (The current URI for this page, for reference purposes)
Guest, Richard: https://orcid.org/0000-0001-7535-7336
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