Illumination normalization based on simplified local binary patterns for a face verification system

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    Illumination normalization is a very important step in face recognition. In this paper we propose a simple implementation of Local Binary Patterns, which effectively reduces the variability caused by illumination changes. In combination with a likelihood ratio classifier, this illumination normalization method achieves very good recognition performance, with respect to both discrimination and generalization. A user verification system using this method has been successfully implemented on a mobile platform.
    Original languageUndefined
    Title of host publicationBiometrics Symposium 2007 at The Biometrics Consortium Conference
    Place of PublicationUSA
    PublisherIEEE Computational Intelligence Society
    Number of pages7
    ISBN (Print)978-1-4244-1549-6
    Publication statusPublished - 11 Sep 2007
    EventBiometrics Symposium 2007 at The Biometrics Consortium Conference - Baltimore, Maryland
    Duration: 11 Sep 200713 Sep 2007

    Publication series

    PublisherIEEE Computational Intelligence Society


    ConferenceBiometrics Symposium 2007 at The Biometrics Consortium Conference
    Other11-13 Sep 2007


    • EWI-11466
    • IR-64487
    • METIS-245801
    • SCS-Safety

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