Binary Biometric Representation through Pairwise Adaptive Phase Quantization

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    Extracting binary strings from real-valued biometric templates is a fundamental step in template compression and protection systems, such as fuzzy commitment, fuzzy extractor, secure sketch, and helper data systems. Quantization and coding is the straightforward way to extract binary representations from arbitrary real-valued biometric modalities. In this paper, we propose a pairwise adaptive phase quantization (APQ) method, together with a long-short (LS) pairing strategy, which aims to maximize the overall detection rate. Experimental results on the FVC2000 fingerprint and the FRGC face database show reasonably good verification performances.
    Original languageUndefined
    Pages (from-to)543106
    Number of pages16
    JournalEURASIP journal on information security
    Publication statusPublished - Mar 2011


    • SCS-Safety
    • EWI-19845
    • IR-76459
    • METIS-278705
    • bit extraction
    • Template Protection
    • adaptive phase quantization

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