Reliable On-Line Human Signature Verification Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
MORPH: A Longitudinal Image Database of Normal Adult Age-Progression
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
A comparative study on the consistency of features in on-line signature verification
Pattern Recognition Letters
Age dependency in handwritten dynamic signature verification systems
Pattern Recognition Letters
Automatic Age Estimation Based on Facial Aging Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Investigation of Predictive Profiling from Handwritten Signature Data
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
A meta-analysis of face recognition covariates
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Are younger people more difficult to identify or just a peer-to-peer effect
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Age transformation for improving face recognition performance
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Improving identity prediction in signature-based unimodal systems using soft biometrics
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
Ethnicity estimation with facial images
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression
IEEE Transactions on Image Processing
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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.