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

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.

► A fingerprint retrieval method based on level-1 and level-2 features is proposed. ► Features are combined at rank-level, score-level, and with a new Hybrid approach. ► Extensive experiments on six public databases are reported. ► The accuracy of the new method is definitely higher than current state-of-the-art.