White-Box Evaluation of Fingerprint Matchers: Robustness to Minutiae Perturbations
Steven Grosz, Joshua J. Engelsma, Nicholas G. Paulter Jr., Anil K. Jain
Prevailing evaluations of fingerprint recognition systems have been performed as end-to-end black-box tests of fingerprint identification or authentication accuracy. However, performance of the end-to-end system is subject to errors arising in any of its constituent modules, including: fingerprint scanning, preprocessing, feature extraction, and matching. While a few studies have conducted standalone evaluations of the fingerprint reader and feature extraction modules of fingerprint recognition systems, little work has been devoted towards white-box evaluations of the fingerprint matching module. We report results of a controlled, white-box evaluation of one open-source and two commercial-off-the-shelf (COTS) minutiae-based matchers in terms of their robustness against controlled perturbations (random noise and non-linear distortions) introduced into the input minutiae feature sets. Our white-box evaluations reveal that the performance of fingerprint minutiae matchers are more susceptible to non-linear distortion and missing minutiae than spurious minutiae and small positional displacements of the minutiae locations.
, Engelsma, J.
, Paulter Jr., N.
and Jain, A.
White-Box Evaluation of Fingerprint Matchers: Robustness to Minutiae Perturbations, 2020 INTERNATIONAL JOINT CONFERENCE ON BIOMETRICS, Houston, TX, US, [online], https://doi.org/10.1109/IJCB48548.2020.9304918
(Accessed March 3, 2024)