1. A method of training a biometric sample quality assessment device, comprising: receiving a plurality of gallery training samples of a common biometric sample type; receiving a plurality of probe training samples of the common biometric sample type; performing a convolution of each probe training sample with a set of wavelets to generate a plurality of wavelet features for each probe training sample; generating a match indicator for each probe training sample that indicates a degree of confidence on matching the probe training sample to one of the plurality of gallery training samples; processing the match indicator and wavelet features for each probe training sample with a boosted classifier to identify a subset of the plurality of wavelet features and a set of boosted classifier classification rules; storing a list that identifies the subset of the plurality of wavelet features to the biometric sample quality assessment device; and storing the set of boosted classifier classification rules to the biometric sample quality assessment device.