Template representativeness is a fundamental problem in a biometric recognition system.
The performance of the system degrades if the enrolled templates are un-representative of …

Self-update is the most commonly adopted biometric template update technique in which the
system adapts itself to the confidently classified samples. However, the recent works indicate …

Performance of mono-and multi-modal biometric systems depends on the
representativeness of enrolled templates. Unfortunately, error rate values estimated during …

Biometric-based person recognition poses a challenging problem because of large
variability in biometric sample quality encountered during testing and a restricted number of …

With the widespread of computing and mobile devices, authentication using biometrics has
received greater attention. Although biometric systems usually provide good solutions, the …

A biometric system provides poor performances when the input data exhibit intra-class
variations which are not well represented by the enrolled template set. This problem has …

Some disadvantages of biometric systems are caused by intra-class variability that
describes the fuzziness of biometric data given from a single person for one biometric …

Performances of biometric recognition systems can degrade quickly when the input
biometric traits exhibit substantial variations compared to the templates collected during the …

Semi-supervised template update systems allow to automatically take into account the intra-
class variability of the biometric data over time. Such systems can be inefficient by including …

Self adaptive systems: An experimental analysis of the performance over time Page 1 Self
Adaptive Systems: An Experimental Analysis of the Performance Over Time Ajita Rattani, Gian …