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Exploring Mobile Biometric Performance through Identification of Core Factors and Relationships

Boakes, Matthew, Guest, Richard, Deravi, Farzin, Corsetti, Barbara (2019) Exploring Mobile Biometric Performance through Identification of Core Factors and Relationships. IEEE Transactions on Biometrics, Behavior, and Identity Science, . ISSN 2637-6407. E-ISSN 2637-6407. (In press) (doi:10.1109/TBIOM.2019.2941728)

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https://doi.org/10.1109/TBIOM.2019.2941728

Abstract

Biometrics, as a form of authentication, has existed for several decades and shows no signs of slowing down. Extensive research has been carried out into enhancing systems either by improving error rates or ease of adoption by examining barriers to use. In this paper, we investigate factors of a biometric system that is likely to affect performance, in particular, focusing on mobile device implementation. By surveying the area, we have identified seven core factors that help to form a clearer understanding of what changes the performance of a system. These seven factors are Users, Modality, Environments, Diversity of Scenarios, System Constraints, Hardware and Algorithms and form ‘The Core Factors Affecting Mobile Biometric Performance’. We utilise these factors to illustrate the practicalities of mobile implementations and indicate future considerations to explore future performance enhancements and provide an informative overview to developers, implementers and testers of biometrics systems, enabling the binning of performance alterations within one of these factors.

Item Type: Article
DOI/Identification number: 10.1109/TBIOM.2019.2941728
Uncontrolled keywords: biometrics, performance, mobile implementation, users, modality, environments, scenarios, system, hardware, algorithms
Subjects: Q Science > QA Mathematics (inc Computing science)
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.B56 Biometric identification
Divisions: Faculties > University wide - Teaching/Research Groups > Centre for Cyber Security Research
Faculties > Sciences > School of Computing > Security Group
Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: M.J. Boakes
Date Deposited: 18 Sep 2019 21:08 UTC
Last Modified: 01 Nov 2019 12:44 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/76574 (The current URI for this page, for reference purposes)
Boakes, Matthew: https://orcid.org/0000-0002-9377-6240
Deravi, Farzin: https://orcid.org/0000-0003-0885-437X
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