Biometric Person Authentication IS A Multiple Classifier Problem
Venue
7th International Workshop on Multiple Classifier Systems (2007)
Publication Year
2007
Authors
Samy Bengio, Johnny Mariéthoz
BibTeX
Abstract
Several papers have already shown the interest of using multiple classifiers in
order to enhance the performance of biometric person authentication systems. In
this paper, we would like to argue that the core task of Biometric Person
Authentication is actually a multiple classifier problem as such: indeed, in order
to reach state-of-the-art performance, we argue that all current systems , in one
way or another, try to solve several tasks simultaneously and that without such
joint training (or sharing), they would not succeed as well. We explain hereafter
this perspective, and according to it, we propose some ways to take advantage of
it, ranging from more parameter sharing to similarity learning.
