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Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-6
Raymond N.J. Veldhuis , University of Twente, Department of Electrical Engineering, P.O. box 217, 7500 AE Enschede, The Netherlands
Haiyun Xu , University of Twente, Department of Electrical Engineering, P.O. box 217, 7500 AE Enschede, The Netherlands
Anton H.M. Akkermans , Philips Research Laboratories, Prof. Holstlaan 4, 5656 AA Eindhoven, The Netherlands
Asker M. Bazen , Uniqkey Biometrics, Graafvorkhoek 22, 7546 KK Enschede, The Netherlands
ABSTRACT
Minutiae, which are the endpoints and bifurcations of fingerprint ridges, allow a very discriminative classification of fingerprints. However, a minutiae set is an unordered set and the minutiae locations suffer from various deformations such as translation, rotation and scaling. In this paper, we introduce a novel method to represent a minutiae set as a fixed-length feature vector, which is invariant to translation, and in which rotation and scaling become translations, so that they can be easily compensated for. By applying the spectral minutiae representation, we can combine the fingerprint recognition system with a template protection scheme, which requires a fixed-length feature vector. This paper also presents two spectral minutiae matching algorithms and shows experimental results.
CITATION
Raymond N.J. Veldhuis, Haiyun Xu, Anton H.M. Akkermans, Asker M. Bazen, "Spectral minutiae: A fixed-length representation of a minutiae set", CVPRW, 2008, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2008, pp. 1-6, doi:10.1109/CVPRW.2008.4563120