A fingerprint retrieval system based on level-1 and level-2 features

Authors:
Raffaele Cappelli;Matteo Ferrara
Affiliations:
Department of Electronics, Computer Sciences and Systems of the University of Bologna - Via Sacchi, 3, 47521 Cesena (FC), Italy;Department of Electronics, Computer Sciences and Systems of the University of Bologna - Via Sacchi, 3, 47521 Cesena (FC), Italy
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 37
Cited 1

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Abstract

This paper proposes a novel fingerprint retrieval system that combines level-1 (local orientation and frequencies) and level-2 (minutiae) features. Various score- and rank-level fusion strategies and a novel hybrid fusion approach are evaluated. Extensive experiments are carried out on six public databases and a systematic comparison is made with eighteen retrieval methods and seventeen exclusive classification techniques published in the literature. The novel approach achieves impressive results: its retrieval accuracy is definitely higher than competing state-of-the-art methods, with error rates that in some cases are even one or two orders of magnitude smaller.