Quantitative Assessment of the Individuality of Friction Ridge Patterns

This project will assess existing statistical models of friction ridge individuality and propose new models for error rates, probability of match/exclusion and strength of evidence (similar to techniques developed for DNA matching and speaker verification. It will also study the issue of quantity and quality of friction ridge data that needs to be present for matching (e.g. the affect of number and combinations of minutiae on individuality). ca/ncf