Skip to main content

A methodological framework for investigating age factors on the performance of biometric systems

Erbilek, Meryem and Fairhurst, Michael (2013) A methodological framework for investigating age factors on the performance of biometric systems. In: MM&Sec '12: proceedings of the 14th ACM Multimedia and Security Workshop. ACM, pp. 115-122. ISBN 978-1-4503-1417-6. (doi:10.1145/2361407.2361428) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1145/2361407.2361428

Abstract

Any individual's biometric data are likely to change with the passage of time and, as a result, developing biometric applications for long-term use is a challenging task. One of the factors which increases the challenge of dealing with ageing effects in biometric systems is that the age of an individual is a continuous variable, and it is impossible to investigate and understand ageing issues in biometric systems other than using discrete age "bands". However, this division of a given population into age-bands has generally been a rather arbitrary exercise, making it difficult to optimise or compare results in different studies. In this paper, we will investigate, document and analyse the effects of age-band assignment, improving our understanding of how to manage age-related data and pointing to the possibility of more objectively determining optimal age-bands which offer a greater possibility of minimizing the sensitivity of a system which relies on such information. We study specifically the iris (physiological) and signature (behavioural) modalities.

Item Type: Book section
DOI/Identification number: 10.1145/2361407.2361428
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: P.S.P. Yapp
Date Deposited: 29 Oct 2013 16:34 UTC
Last Modified: 23 Sep 2019 09:27 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35790 (The current URI for this page, for reference purposes)
  • Depositors only (login required):