Supporting fingerprint identification assessments using a skin stretch model — A preliminary study

Abstract

To support fingerprint expert opinion, this research proposes an approach that combines subjective human analysis (as currently applied by fingerprint practitioners) with a statistical test of the result. This approach relies on the hypothesis that there are limits to the distortion caused by skin stretch. Such limits can be modelled by applying a multivariate normal probability density function to the distances and angle formed by a marked ridge characteristic and the two closest neighbouring minutiae.This study presents a model tested on 5 donors in total. The “expected range” of distortion in a within-source comparison using 10 minutiae was determined and compared to between-source comparisons. The expected range of log probability densities for within-source comparisons marked with 10 minutiae was determined to be from −33.4 to −60.0, with all between-source data falling outside this range, between −83 and −305.These results suggest that the proposed generated metric could be a powerful tool for the assessment of fingerprint expert opinion in operational casework.