Performance evaluation of fingerprint open-set identification algorithms

Published: September 22, 2014

Author(s)

Elham Tabassi, Craig I. Watson, Gregory P. Fiumara

Abstract

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 of performance seen in that evaluation.
Proceedings Title: International Joint Conference on Biometrics (IJCB 2014)
Conference Dates: September 29-October 2, 2014
Conference Location: Clearwater, FL
Pub Type: Conferences

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Keywords

Fingerprint, identification, one-to-many, FpVTE, Technology Evaluation, algorithms, matching
Created September 22, 2014, Updated February 19, 2017