An assessment of the usability of biometric signature systems using the human-biometric sensor interaction model Online publication date: Wed, 01-Jun-2016
by Richard Guest; Michael Brockly; Stephen Elliott; James Scott
International Journal of Computer Applications in Technology (IJCAT), Vol. 53, No. 4, 2016
Abstract: Signature biometrics is a widely used form of user authentication. As a behavioural biometric, samples have inherent inconsistencies which must be accounted for within an automated system. Performance deterioration of a tuned biometric software system may be caused by an interaction error with a biometric capture device; however, using conventional error metrics, system and user interaction errors are combined, thereby masking the contribution by each element. In this paper we explore the application of the Human-Biometric Sensor Interaction (HBSI) model to signature as an exemplar of a behavioural biometric. Using observational data collected from a range of subjects, our study shows that usability issues can be identified specific to individual capture device technologies. While most interactions are successful, a range of common interaction errors need to be mitigated by design to reduce overall error rates.
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