The FERET Evaluation Methodology for Face-Recognition Algorithms
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
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A meta-analysis of face recognition covariates
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
A methodological framework for investigating age factors on the performance of biometric systems
Proceedings of the on Multimedia and security
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Recent investigations into the effect of age on face identification concluded that it was more difficult to identify younger people than older ones. The identification rates of the different age groups were, however, not measured under identical conditions. There was a significantly higher percentage of younger people in all the face image samples. We found that a person from any age group will find that they look more similar to another person from the same age group, as opposed to someone from another age group. The experiments we carried out using samples that have an evenly distributed age range did not show a statistically significant difference between the sample age groups.