Iris as a biometric identifier is assumed to be stable over a period of time. However, some researchers have observed that for long time lapse, the genuine match score distribution shifts towards the impostor score distribution and the performance of iris recognition reduces. The main purpose of this study is to determine if the shift in genuine scores can be attributed to aging or not. The experiments are performed on the two publicly available iris aging databases namely, ND-Iris-TemplateAging-2008-2010 and ND-TimeLapseIris-2012 using a commercial matcher, VeriEye. While existing results are correct about increase in false rejection over time, we observe that it is primarily due to the presence of other covariates such as blur, noise, occlusion, and pupil dilation. This claim is substantiated with quality score comparison of the gallery and probe pairs.
Mehrothra et al. REF investigate ageing on ND-Iris-Template-Aging-2008-2010 and ND-TimeLapseIris-2012 databases and find, that the reported increased false rejection rate may apart from pupil dilation also be attributed to other factors, such as occlusion, blur, rotation, illumination and noise.
Does Iris Change Over Time?
PLoS ONE
PLoS ONE
Computer Science Medicine