A Methodology for Identifying Weak Users for Controlled Enrollment and Multimodal Fusion
Source: University of Surrey
Biometric performance assessment is made difficult by virtue of the fact that each user in the database introduces variability that cannot be controlled even with a well designed acquisition procedure and experimental protocol. As a result, the system performance is inevitably user-dependent. The authors propose explicitly to rank the users according to their performance using criteria such as the F-ratio, the Fisher ratio and the d-prime metric. These criteria are demonstrated to be able to partition the users in such a way that the performance of each partition differs by as much as a factor of 2. Thanks to these criteria, it is possible to assess the performance of the best case or, more importantly, the worst case scenario.