Consider a biometric matcher that generates similarity scores in the range [0, 1]. Its genuine and impostor score distributions are as follows: p(s|genuine) = 3s2 and p(s|impostor) = 2 2s. Suppose the following decision rule is employed: s is classied as a genuine score if s ; else it is classied as an impostor score. Here, [0, 1].

Plot the genuine and impostor distributions in a single graph. If = 0.5, what is the FMR (i.e., FAR) and FNMR (i.e., FRR) of the biometric matcher?