This paper describes a new fingerprint indexing approach based on vector and scalar features, obtained from ridge-line orientations and frequencies. A carefully designed set of features and ad-hoc score measures allow the proposed indexing algorithm to be extremely effective and efficient, as confirmed by the results of extensive experiments. The new method markedly outperforms competing state-of-the-art techniques over six publicly available datasets; furthermore, it can scale to large databases without losing accuracy: on a standard PC, a search over one million fingerprints takes less than one second.
R. Cappelli (2011). Fast and Accurate Fingerprint Indexing based on Ridge Orientation and Frequency. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 41, 1511-1521 [10.1109/TSMCB.2011.2155648].
Fast and Accurate Fingerprint Indexing based on Ridge Orientation and Frequency
CAPPELLI, RAFFAELE
2011
Abstract
This paper describes a new fingerprint indexing approach based on vector and scalar features, obtained from ridge-line orientations and frequencies. A carefully designed set of features and ad-hoc score measures allow the proposed indexing algorithm to be extremely effective and efficient, as confirmed by the results of extensive experiments. The new method markedly outperforms competing state-of-the-art techniques over six publicly available datasets; furthermore, it can scale to large databases without losing accuracy: on a standard PC, a search over one million fingerprints takes less than one second.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.