Authors: Robert Pollak; Roland Richter
Addresses: Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz, Altenbergerstra 69, 4020 Linz, Austria ' Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz, Altenbergerstra 69, 4020 Linz, Austria
Abstract: We use BRIEF binary local image descriptors as minutia descriptors for indexing of biometric fingerprint databases. Tests with varying descriptor size and parametrisation are performed on a proprietary database. Compared with the speed of an implementation of conventional minutiae matching, we find that BRIEF descriptors are fast enough for database indexing. The tested descriptors outperform two other image descriptors (LBP, HoG) from recent literature with respect to matching rates and average penetration rates.
Keywords: biometrics; fingerprints; indexing; BRIEF; image descriptors.
International Journal of Biometrics, 2019 Vol.11 No.2, pp.101 - 112
Received: 06 Feb 2018
Accepted: 24 Aug 2018
Published online: 21 Mar 2019 *