Analysis of eigenvalue correction applied to biometrics

Anne Hendrikse, Raymond Veldhuis, Luuk Spreeuwers, Asker Bazen

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    3 Citations (Scopus)
    55 Downloads (Pure)

    Abstract

    Eigenvalue estimation plays an important role in biometrics. However, if the number of samples is limited, estimates are significantly biased. In this article we analyse the influence of this bias on the error rates of PCA/LDA based verification systems, using both synthetic data with realistic parameters and real biometric data. Results of bias correction in the verification systems differ considerable between synthetic data and real data: while the bias is responsible for a large part of classification errors in the synthetic facial data, compensation of the bias in real facial data leads only to marginal improvements.
    Original languageEnglish
    Title of host publicationAdvances in Biometrics
    Subtitle of host publicationThird International Conference, ICB 2009, Alghero, Italy, June 2-5, 2009. Proceedings
    Place of PublicationBerlin / Heidelberg
    PublisherSpringer
    Pages189-198
    Number of pages10
    ISBN (Print)978-3-642-01792-6
    DOIs
    Publication statusPublished - Jun 2009
    Event3rd IAPR International Conference on Biometrics, ICB 2009 - University of Sassari, Alghero, Italy
    Duration: 2 Jun 20095 Jun 2009
    Conference number: 3

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume5558
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference3rd IAPR International Conference on Biometrics, ICB 2009
    Abbreviated titleICB
    CountryItaly
    CityAlghero
    Period2/06/095/06/09

    Keywords

    • METIS-263916
    • Marcenko Pastur equation
    • IR-67802
    • EWI-15687
    • Face Recognition
    • SCS-Safety
    • Eigenvalue correction

    Fingerprint Dive into the research topics of 'Analysis of eigenvalue correction applied to biometrics'. Together they form a unique fingerprint.

  • Cite this

    Hendrikse, A., Veldhuis, R., Spreeuwers, L., & Bazen, A. (2009). Analysis of eigenvalue correction applied to biometrics. In Advances in Biometrics: Third International Conference, ICB 2009, Alghero, Italy, June 2-5, 2009. Proceedings (pp. 189-198). (Lecture Notes in Computer Science; Vol. 5558). Berlin / Heidelberg: Springer. https://doi.org/10.1007/978-3-642-01793-3_20