A two-stage fingerprint classification system

Authors:
Raffaele Cappelli;Dario Maio;Davide Maltoni;Loris Nanni
Affiliations:
University of Bologna, Bologna, Italy;University of Bologna, Bologna, Italy;University of Bologna, Bologna, Italy;University of Bologna, Bologna, Italy
Venue:
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Year:
2003

Citing 11
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Abstract

In this paper we describe a fingerprint classification system based on a two-stage sequential architecture: an MKL-based classifier is first used to select the two-most-likely classes and then a second classifier (specifically trained to discriminate between the two classes) is then adopted for the final decision. The experimentation performed on NIST Special Database 4, which is one of the most important benchmarks in this area, shows that the new approach yields an error rate lower than previously published in the literature. In particular, the error rate is 4.8% and 3.7% for the five-class problem and four-class problem, respectively.