  Serial, or sequential, fusion of multiple biometric matchers has been not
thoroughly investigated so far. However, this approach exhibits some advantages
with respect to the widely adopted parallel approaches. In this paper, we
propose a novel theoretical framework for the assessment of performance of such
systems, based on a previous work of the authors. Benefits in terms of
performance are theoretically evaluated, as well as estimation errors in the
model parameters computation. Model is analyzed from the viewpoint of its pros
and cons, by mean of preliminary experiments performed on NIST Biometric Score
Set 1.
