Fast and Accurate Fingerprint Indexing Based on Ridge Orientation and Frequency

  • Authors:

  • Raffaele Cappelli

  • Affiliations:

  • Biometric System Laboratory, DEIS, University of Bologna, Cesena, Italy

  • Venue:
  • IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
  • Year:
  • 2011

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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 data sets. Furthermore, it can scale to large databases without losing accuracy: on a standard PC, a search over one million fingerprints takes less than 1 s.