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.

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/107943
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