1. A method of extracting biometric features from images of a biometric identity, the method comprising: obtaining or generating multiple variations of a single image instantiation for the biometric identity to one or more of: increase detection of true minutiae, reduce detection of false minutiae, and improve the consistency feature extraction, wherein a limit governs how many variations are used; identifying specific instances of biometric features in each of the multiple variations of the single image instantiation of the same biometric identity; and statistically merging common feature data, corresponding to the specific instances of biometric features identified and determined to be at a same location in the multiple different variations of the single image instantiation of the same biometric identity, into a single biometric data template representation of the biometric identity, wherein the merging of the common feature data includes identifying found minutia points, associating a counter with each found minutia point, and storing a location of each found minutia point, and when the limit has been reached, determining based on a threshold compared to a count, which are true minutiae.