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Xu, Haiyun and Bazen, A.M. and Veldhuis, R.N.J. and Kevenaar, T.A.M. and Akkermans, A.H.M.
(2007)
Spectral representation of fingerprints.
In: Proceedings of the 28th Symposium on Information Theory in the Benelux, 24-25 May 2007, Enschede, The Netherlands.
pp. 313-319.
Werkgemeenschap voor Informatie- en Communicatietechniek.
ISBN 978-90-365-2509-1
Full text available as:
 AbstractMost fingerprint recognition systems are based on the use of a minutiae set, which is an unordered collection of minutiae locations and directions suffering from various deformations such as translation, rotation and scaling. The spectral minutiae representation introduced in this paper is 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. These characteristics enable the combination of fingerprint recognition systems with a template protection scheme, which requires a fixed-length feature vector. This paper introduces the idea and algorithm of spectral minutiae representation. A correlation based spectral minutiae
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