The computation of local orientations is a fundamental step in fingerprint recognition. Although a large number of approaches have been proposed in the literature, no systematic quantitative evaluations have been done yet, mainly due to the lack of proper datasets with associated ground truth information. In this paper we propose a new benchmark (which includes two datasets and an accuracy metric) and report preliminary results obtained by testing four well-known local orientation extraction algorithms.
Benchmarking Local Orientation Extraction in Fingerprint Recognition / R. Cappelli; D. Maltoni; F. Turroni. - STAMPA. - (2010), pp. 801-804. (Intervento presentato al convegno 20th International Conference on Pattern Recognition tenutosi a Istambul nel 23-26 Agosto 2010) [10.1109/ICPR.2010.286].
Benchmarking Local Orientation Extraction in Fingerprint Recognition
CAPPELLI, RAFFAELE;MALTONI, DAVIDE;TURRONI, FRANCESCO
2010
Abstract
The computation of local orientations is a fundamental step in fingerprint recognition. Although a large number of approaches have been proposed in the literature, no systematic quantitative evaluations have been done yet, mainly due to the lack of proper datasets with associated ground truth information. In this paper we propose a new benchmark (which includes two datasets and an accuracy metric) and report preliminary results obtained by testing four well-known local orientation extraction algorithms.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
