The impact of sensor ageing related pixel defects on the performance of finger vein based recognition systems in terms of the EER (Equal Error Rate) is investigated. Therefore the defect growth rate per year for the sensor used to capture the data set was estimated. Based on this estimation an experimental study using several simulations with increasing numbers of stuck and hot pixels were done to determine the impact on different finger-vein matching schemes.
Whereas for a reasonable number of pixel defects none of the methods is considerably influenced, the performance of several schemes drops if the number of defects is increased. The impact can be reduced using a simple denoising filter.