This paper describes an improved version of the MCC fingerprint matching approach. An in-depth error analysis allowed us to point out the weakest points of the original MCC and to design: i) a more effective minutiae pair selection and ii) a more distortion-tolerant relaxation. The parameters of the new version have been tuned over a new larger dataset and the final algorithm has been evaluated on FVC-onGoing. The results show that MCC compares favorably with some of the most accurate commercial algorithms published in FVC-onGoing.
MCC: a Baseline Algorithm for Fingerprint Verification in FVC-onGoing / R. Cappelli; M. Ferrara; D. Maltoni; M. Tistarelli;. - STAMPA. - (2010), pp. 19-23. (Intervento presentato al convegno 11th International Conference on Control, Automation, Robotics and Vision tenutosi a Singapore nel 7-10 December, 2010) [10.1109/ICARCV.2010.5707958].
MCC: a Baseline Algorithm for Fingerprint Verification in FVC-onGoing
CAPPELLI, RAFFAELE;FERRARA, MATTEO;MALTONI, DAVIDE;
2010
Abstract
This paper describes an improved version of the MCC fingerprint matching approach. An in-depth error analysis allowed us to point out the weakest points of the original MCC and to design: i) a more effective minutiae pair selection and ii) a more distortion-tolerant relaxation. The parameters of the new version have been tuned over a new larger dataset and the final algorithm has been evaluated on FVC-onGoing. The results show that MCC compares favorably with some of the most accurate commercial algorithms published in FVC-onGoing.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
