of gallery match scores that are greater than the determined first match score then in step s 1140 a plurality of probe match scores between the first probed sample and the plurality of other samples in the gallery are determined as well as the number of the plurality of probe match scores that are greater than the determined first match score control then continues to step s 1150 in step s 1150 a second match score of a second probe sample corresponding to a mode and a second gallery sample in a gallery are determined next in step s 1160 a plurality of gallery match scores between the second gallery sample and the plurality of other samples in the gallery are determined as well as the number of plurality of gallery match scores that are greater than the determined second match score next in step s 1170 a plurality of probe match scores between the second probe sample and the plurality of other samples in the gallery are determined as well as the number of the plurality of probe match scores that are greater than the determined second match score the determined information from the first and second sample is then combined to determine a false match confidence level in step s 1180 with control continuing to step s 1190 where the control sequence ends fig1 illustrates an exemplary embodiment for using previous genuine imposter match score data to automate derivation of an individualized verification match threshold score in particular control begins in step s 1500 and continues to step s 1510 in step s 1510 for each individual enrolled in a biometric system a database of match scores observed between all genuine and all imposter samples is.