GUC100 Multi-scanner Fingerprint Database for In-House (Semi-public) Performance and Interoperability Evaluation

Abstract

In this paper, we describe the GUC100 multi-scanner fingerprint database that has been created for independent and in-house (semi-public) performance and interoperability testing of third party algorithms. The GUC100 was collected by using six different fingerprint scanners (TST, L-1, Cross Match, PreciseBiometrics, Lumidigm and Sagem). Over several months fingerprint images of all 10 fingers from 100 subjects on all 6 scanners were acquired. In total, GUC100 contains almost 72.000 fingerprint images.The GUC100 database enables to evaluate various performances and interoperability settings by taking into account different influencing factors such as fingerprint scanner, image quality and so on. The GUC100 data set is freely available to other researchers and practitioners provided that they conduct their testing in the premises of the Gjovik University College in Norway, or alternatively submit their algorithms (in compiled form) to run on GUC100 by researchers in Gjovik.We applied a commercial fingerprint verification algorithm on GUC100 and the reported results indicate that GUC100 is a challenging database.