Fingerprint Liveness Detection Based on Quality Measures
2009 (English)In: 2009 1st IEEE International Conference on Biometrics, Identity and Security, BIdS 2009, Piscataway, N.J.: IEEE Press, 2009, 1-8 p.Conference paper (Refereed)
A new fingerprint parameterization for liveness detection based on quality measures is presented. The novel feature set is used in a complete liveness detection system and tested on the development set of the LivDET competition, comprising over 4,500 real and fake images acquired with three ditTerent optical sensors. The proposed solution proves to be robust to the multi-sensor scenario, and presents an overall rate of 93% of correctly classified samples. Furthermore, the liveness detection method presented has the added advantage over previously studied techniques of needing just one image from a finger to decide whether it is real or fake.
Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE Press, 2009. 1-8 p.
Feature sets, Fingerprint liveness detection, Liveness detection, Multi sensor, Overall rate, Quality measures
IdentifiersURN: urn:nbn:se:hh:diva-21244DOI: 10.1109/BIDS.2009.5507534ScopusID: 2-s2.0-77954962177ISBN: 978-142445276-7OAI: oai:DiVA.org:hh-21244DiVA: diva2:589364
IEEE Proc. Intl. Conf. on Biometrics, Identity and Security, BIDS, Tampa, FL, Sept 22-23, 2009