Paper
17 February 2011 Comparative review of studies on aging effects in context of biometric authentication
Tobias Scheidat, Juliane Heinze, Claus Vielhauer, Jana Dittmann, Christian Kraetzer
Author Affiliations +
Proceedings Volume 7881, Multimedia on Mobile Devices 2011; and Multimedia Content Access: Algorithms and Systems V; 788110 (2011) https://doi.org/10.1117/12.872417
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
The performance of a biometric system from the point of view of authentication, enrollment and usability depends not only on the algorithms, hardware and software used, but also on aging effects of the human body. Thus, the examination of the influence of ageing depended physiological and mental variances of potential user groups is an important part of biometric research. In this paper a survey of studies is presented which examining effects of biological aging on enrollment and authentication performance as well as usability of biometric systems based on modalities fingerprint, face and iris. In order to compare the findings of the studies and overcome the problem, that nearly every one of these studies uses its own database with varying number of users and different sensors, measurements and/or aging levels, we developed a novel graphical representation of the results. It provides an overview of changes appearing with increasing age and possible influences on performance or usability. The outcomes of a high number of evaluations are compared for each of the three biometric modalities in context of aging and finally concluded in the novel graphical representation.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tobias Scheidat, Juliane Heinze, Claus Vielhauer, Jana Dittmann, and Christian Kraetzer "Comparative review of studies on aging effects in context of biometric authentication", Proc. SPIE 7881, Multimedia on Mobile Devices 2011; and Multimedia Content Access: Algorithms and Systems V, 788110 (17 February 2011); https://doi.org/10.1117/12.872417
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Biometrics

Iris recognition

Image quality

Sensors

Facial recognition systems

Biological research

Databases

Back to Top