Binary Biometric Representation through Pairwise Polar Quantization

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    Binary biometric representations have great significance for data compression and template protection. In this paper, we introduce pairwise polar quantization. Furthermore, aiming to optimize the discrimination between the genuine Hamming distance (GHD) and the imposter Hamming distance (IHD), we propose two feature pairing strategies: the long-short (LS) strategy for phase quantization, as well as the long-long (LL) strategy for magnitude quantization. Experimental results for the FRGC face database and the FVC2000 fingerprint database show that phase bits provide reasonably good performance, whereas magnitude bits obtain poor performance.
    Original languageUndefined
    Title of host publicationAdvances in Biometrics
    EditorsM. Tistarelli, M. Nixon
    Place of PublicationBerlin
    Number of pages10
    ISBN (Print)978-3-642-01792-6
    Publication statusPublished - Jun 2009

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag


    • METIS-264247
    • Biometrics
    • SCS-Safety
    • Template Protection
    • EWI-17015
    • IR-68946

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