A concatenated coding scheme for biometric template protection

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

    3 Citations (Scopus)

    Abstract

    Cryptography may mitigate the privacy problem in biometric recognition systems. However, cryptography technologies lack error-tolerance and biometric samples cannot be reproduced exactly, rising the robustness problem. The biometric template protection system needs a good feature extraction algorithm to be a good classifier. But, an even effective feature extractor can give a very low-quality biometric channel (i.e. high Bit Error Rate (BER)). Using the Spectral Minutiae method to identify fingerprints is one of the examples, which gives a BER of 40 ∼ 50% to most of the matching channels. Therefore, we propose a concatenated coding scheme based on erasure codes to achieve a robust and secure biometric recognition system. The key idea is to transmit more packets than needed for decoding and allow the erasure-encoded packet suffering high BER to be discarded. The erasure decoder can reconstruct the secret key by collecting enough surviving packets. By applying the spectral minutiae method in the FVC2000-DB2 fingerprint database, the unprotected system achieves an EER of 3.7% and our proposed coding scheme reaches an EER of 4.6% with a 798-bit secret key.
    Original languageUndefined
    Title of host publication2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Place of PublicationUSA
    PublisherIEEE Signal Processing Society
    Pages1865-1868
    Number of pages4
    ISBN (Print)978-1-4673-0045-2
    DOIs
    Publication statusPublished - 25 Mar 2012
    EventIEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012 - Kyoto, Japan
    Duration: 25 Mar 201230 Mar 2012

    Publication series

    Name
    PublisherIEEE Signal Processing Society
    ISSN (Print)1520-6149

    Conference

    ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012
    Abbreviated titleICASSP
    CountryJapan
    CityKyoto
    Period25/03/1230/03/12

    Keywords

    • METIS-296093
    • EWI-22290
    • SCS-Safety
    • IR-81680

    Cite this

    Shao, X., Xu, H., Veldhuis, R. N. J., & Slump, C. H. (2012). A concatenated coding scheme for biometric template protection. In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (pp. 1865-1868). USA: IEEE Signal Processing Society. https://doi.org/10.1109/ICASSP.2012.6288266
    Shao, X. ; Xu, H. ; Veldhuis, Raymond N.J. ; Slump, Cornelis H. / A concatenated coding scheme for biometric template protection. 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),. USA : IEEE Signal Processing Society, 2012. pp. 1865-1868
    @inproceedings{57da8f62b9bb4e45b366dbb3e41b5330,
    title = "A concatenated coding scheme for biometric template protection",
    abstract = "Cryptography may mitigate the privacy problem in biometric recognition systems. However, cryptography technologies lack error-tolerance and biometric samples cannot be reproduced exactly, rising the robustness problem. The biometric template protection system needs a good feature extraction algorithm to be a good classifier. But, an even effective feature extractor can give a very low-quality biometric channel (i.e. high Bit Error Rate (BER)). Using the Spectral Minutiae method to identify fingerprints is one of the examples, which gives a BER of 40 ∼ 50{\%} to most of the matching channels. Therefore, we propose a concatenated coding scheme based on erasure codes to achieve a robust and secure biometric recognition system. The key idea is to transmit more packets than needed for decoding and allow the erasure-encoded packet suffering high BER to be discarded. The erasure decoder can reconstruct the secret key by collecting enough surviving packets. By applying the spectral minutiae method in the FVC2000-DB2 fingerprint database, the unprotected system achieves an EER of 3.7{\%} and our proposed coding scheme reaches an EER of 4.6{\%} with a 798-bit secret key.",
    keywords = "METIS-296093, EWI-22290, SCS-Safety, IR-81680",
    author = "X. Shao and H. Xu and Veldhuis, {Raymond N.J.} and Slump, {Cornelis H.}",
    note = "10.1109/ICASSP.2012.6288266",
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    Shao, X, Xu, H, Veldhuis, RNJ & Slump, CH 2012, A concatenated coding scheme for biometric template protection. in 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),. IEEE Signal Processing Society, USA, pp. 1865-1868, IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012, Kyoto, Japan, 25/03/12. https://doi.org/10.1109/ICASSP.2012.6288266

    A concatenated coding scheme for biometric template protection. / Shao, X.; Xu, H.; Veldhuis, Raymond N.J.; Slump, Cornelis H.

    2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),. USA : IEEE Signal Processing Society, 2012. p. 1865-1868.

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

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    T1 - A concatenated coding scheme for biometric template protection

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    AU - Xu, H.

    AU - Veldhuis, Raymond N.J.

    AU - Slump, Cornelis H.

    N1 - 10.1109/ICASSP.2012.6288266

    PY - 2012/3/25

    Y1 - 2012/3/25

    N2 - Cryptography may mitigate the privacy problem in biometric recognition systems. However, cryptography technologies lack error-tolerance and biometric samples cannot be reproduced exactly, rising the robustness problem. The biometric template protection system needs a good feature extraction algorithm to be a good classifier. But, an even effective feature extractor can give a very low-quality biometric channel (i.e. high Bit Error Rate (BER)). Using the Spectral Minutiae method to identify fingerprints is one of the examples, which gives a BER of 40 ∼ 50% to most of the matching channels. Therefore, we propose a concatenated coding scheme based on erasure codes to achieve a robust and secure biometric recognition system. The key idea is to transmit more packets than needed for decoding and allow the erasure-encoded packet suffering high BER to be discarded. The erasure decoder can reconstruct the secret key by collecting enough surviving packets. By applying the spectral minutiae method in the FVC2000-DB2 fingerprint database, the unprotected system achieves an EER of 3.7% and our proposed coding scheme reaches an EER of 4.6% with a 798-bit secret key.

    AB - Cryptography may mitigate the privacy problem in biometric recognition systems. However, cryptography technologies lack error-tolerance and biometric samples cannot be reproduced exactly, rising the robustness problem. The biometric template protection system needs a good feature extraction algorithm to be a good classifier. But, an even effective feature extractor can give a very low-quality biometric channel (i.e. high Bit Error Rate (BER)). Using the Spectral Minutiae method to identify fingerprints is one of the examples, which gives a BER of 40 ∼ 50% to most of the matching channels. Therefore, we propose a concatenated coding scheme based on erasure codes to achieve a robust and secure biometric recognition system. The key idea is to transmit more packets than needed for decoding and allow the erasure-encoded packet suffering high BER to be discarded. The erasure decoder can reconstruct the secret key by collecting enough surviving packets. By applying the spectral minutiae method in the FVC2000-DB2 fingerprint database, the unprotected system achieves an EER of 3.7% and our proposed coding scheme reaches an EER of 4.6% with a 798-bit secret key.

    KW - METIS-296093

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    KW - IR-81680

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    BT - 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

    PB - IEEE Signal Processing Society

    CY - USA

    ER -

    Shao X, Xu H, Veldhuis RNJ, Slump CH. A concatenated coding scheme for biometric template protection. In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),. USA: IEEE Signal Processing Society. 2012. p. 1865-1868 https://doi.org/10.1109/ICASSP.2012.6288266