Performance evaluation of fingerprint open-set identification algorithms
Elham Tabassi, Craig I. Watson, Gregory Fiumara, Wayne J. Salamon, Patricia A. Flanagan, Su Lan Cheng · 2014
We report performance of one-to-many fingerprint identification algorithms using one, two, four, eight or ten fingers for recognition. Performance is quantified in terms of recognition accuracy (false positive and false negative identification rate), robustness of algorithms (failure to process images) and computational efficiency (time to execute and size of the generated templates). We measured performance on a large dataset of fingerprint images of operational quality using varying enrollment sizes. The main contributions of this paper are two fold: a) open-set identification performance measures and b) an assessment of core capability of current one-to-many fingerprint recognition algorithms. This is accomplished using a subset of algorithms reported in the Fingerprint Vendor Technology Evaluation (FpVTE2012) that show the range and bounds of performance seen in that evaluation.