This work addresses the problem of fingerprint retrieval in a large database. Traditional approaches adopt exclusive classification of fingerprints; the paper shows that a continuous classification can improve the performance of fingerprint retrieval tasks significantly. The proposed approach is based on the extraction of numerical vectors from the directional images of the fingerprints; the retrieval is thus performed in a multidimensional space by using similarity criteria. © 1997 Elsevier Science B.V.

Continuous versus exclusive classification for fingerprint retrieval

Lumini A.;Maio D.;Maltoni D.
1997

Abstract

This work addresses the problem of fingerprint retrieval in a large database. Traditional approaches adopt exclusive classification of fingerprints; the paper shows that a continuous classification can improve the performance of fingerprint retrieval tasks significantly. The proposed approach is based on the extraction of numerical vectors from the directional images of the fingerprints; the retrieval is thus performed in a multidimensional space by using similarity criteria. © 1997 Elsevier Science B.V.
1997
Lumini A.; Maio D.; Maltoni D.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/901587
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