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.
Lumini A., Maio D., Maltoni D. (1997). Continuous versus exclusive classification for fingerprint retrieval. PATTERN RECOGNITION LETTERS, 18(10), 1027-1034 [10.1016/S0167-8655(97)00127-X].
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
