Exploring mobile biometric performance through identification of core factors and relationships
Exploring mobile biometric performance through identification of core factors and relationships
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.
biometrics, performance, mobile implementation, users, modality, environments, scenarios, system, hardware, algorithms
278-291
Boakes, Matthew
25dc2eee-df65-439f-b979-20c3fb416575
Guest, Richard
93533dbd-b101-491b-83cc-39ccfdc18165
Deravi, Farzin
15f7c2ec-bd1e-4819-9ca9-7e179385dfa7
Corsetti, Barbara
b9df1b06-a4c1-4b10-8fa3-045429276cfd
18 September 2019
Boakes, Matthew
25dc2eee-df65-439f-b979-20c3fb416575
Guest, Richard
93533dbd-b101-491b-83cc-39ccfdc18165
Deravi, Farzin
15f7c2ec-bd1e-4819-9ca9-7e179385dfa7
Corsetti, Barbara
b9df1b06-a4c1-4b10-8fa3-045429276cfd
Boakes, Matthew, Guest, Richard, Deravi, Farzin and Corsetti, Barbara
(2019)
Exploring mobile biometric performance through identification of core factors and relationships.
IEEE Transactions on Biometrics, Behavior, and Identity Science, 1 (4), .
(doi: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.
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Published date: 18 September 2019
Keywords:
biometrics, performance, mobile implementation, users, modality, environments, scenarios, system, hardware, algorithms
Identifiers
Local EPrints ID: 489455
URI: http://eprints.soton.ac.uk/id/eprint/489455
ISSN: 2637-6407
PURE UUID: 9ea73d4a-9cb6-46d6-9115-1fa2ac10d119
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Date deposited: 25 Apr 2024 16:30
Last modified: 28 Apr 2024 02:05
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Contributors
Author:
Matthew Boakes
Author:
Richard Guest
Author:
Farzin Deravi
Author:
Barbara Corsetti
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