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

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.
11th International Conference on Control, Automation, Robotics and Vision
19
23
R. Cappelli; M. Ferrara; D. Maltoni; M. Tistarelli;
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/95979
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