Design and analysis of fuzzy extractors for faces

Yagiz Sutcu, Qiming Li, Nasir Memon

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    It is both crucial and challenging to protect biometric data used for biometric identification and authentication systems, while keeping the systems user friendly. We study the design and analysis of biometric data protection schemes based on fuzzy extractors. There are limitations in previous fuzzy extractors, which make them difficult to handle continuous feature spaces, entropy estimation, and feature selection. We proposed a scheme based on PCA features and a recently proposed fuzzy extractor for continuous domains. We conduct experiments using the ORL face database, and analyze carefully the entropies and the resulting security of the system. We explore and compare different ways to select and combine features, and show that randomization plays an important role in both security, performance and cancelability. Furthermore, proposed feature selection does yield better estimation of the final key strength. Keywords: Biometrics, security, template protection, entropy analysis.

    Original languageEnglish (US)
    Title of host publicationOptics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI
    Volume7306
    DOIs
    StatePublished - 2009
    EventOptics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI - Orlando, FL, United States
    Duration: Apr 13 2009Apr 16 2009

    Other

    OtherOptics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI
    CountryUnited States
    CityOrlando, FL
    Period4/13/094/16/09

    Fingerprint

    biometrics
    Extractor
    Biometrics
    Face
    Entropy
    entropy
    Feature Selection
    Feature extraction
    Data privacy
    Randomisation
    Feature Space
    Authentication
    Template
    templates
    Design
    Experiment
    Experiments

    Keywords

    • Biometrics
    • Entropy analysis
    • Security
    • Template protection

    ASJC Scopus subject areas

    • Applied Mathematics
    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics

    Cite this

    Sutcu, Y., Li, Q., & Memon, N. (2009). Design and analysis of fuzzy extractors for faces. In Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI (Vol. 7306). [73061X] https://doi.org/10.1117/12.820571

    Design and analysis of fuzzy extractors for faces. / Sutcu, Yagiz; Li, Qiming; Memon, Nasir.

    Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI. Vol. 7306 2009. 73061X.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Sutcu, Y, Li, Q & Memon, N 2009, Design and analysis of fuzzy extractors for faces. in Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI. vol. 7306, 73061X, Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI, Orlando, FL, United States, 4/13/09. https://doi.org/10.1117/12.820571
    Sutcu Y, Li Q, Memon N. Design and analysis of fuzzy extractors for faces. In Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI. Vol. 7306. 2009. 73061X https://doi.org/10.1117/12.820571
    Sutcu, Yagiz ; Li, Qiming ; Memon, Nasir. / Design and analysis of fuzzy extractors for faces. Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI. Vol. 7306 2009.
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