Spectral representation of fingerprints

H. Xu, A.M. Bazen, Raymond N.J. Veldhuis, Tom A.M. Kevenaar, Anton H.M. Akkermans

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    Most 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 matching algorithm is presented and evaluated. The scheme shows a promising result, with an equal error rate of 0.2% on manually extracted minutiae.
    Original languageUndefined
    Title of host publicationProceedings of the 28th Symposium on Information Theory in the Benelux
    Place of PublicationEindhoven
    PublisherWerkgemeenschap voor Informatie- en Communicatietheorie (WIC)
    Number of pages7
    ISBN (Print)978-90-365-2509-1
    Publication statusPublished - 24 Jun 2007
    Event28th Symposium on Information Theory in the Benelux 2007 - Best Western Dish Hotel, Enschede, Netherlands
    Duration: 24 May 200725 May 2007
    Conference number: 28

    Publication series

    PublisherWerkgemeenschap voor Informatie- en Communicatietechniek


    Conference28th Symposium on Information Theory in the Benelux 2007


    • EWI-10943
    • IR-64311
    • METIS-241859
    • SCS-Safety

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