Letters: Random Bands: A novel ensemble for fingerprint matching

Authors:
Loris Nanni;Alessandra Lumini
Affiliations:
DEIS, IEIIT-CNR, Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy;DEIS, IEIIT-CNR, Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
Venue:
Neurocomputing
Year:
2006

Citing 8
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Abstract

Image-based approaches based on one-class classifiers are presented. The information is extracted with a feature-based representation and recognized by using an ensemble of one-class classifiers. The features extracted by ''FingerCode'' are used to capture the ridge strength. The experiments show that our system outperforms the standard ''FingerCode'' recognition method.