Binary palmprint representation for feature template protection

Meiru Mu, Qiuqi Ruan, Xiaoying Shao, Luuk Spreeuwers, Raymond Veldhuis

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

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    Abstract

    The major challenge of biometric template protection comes from the intraclass variations of biometric data. The helper data scheme aims to solve this problem by employing the Error Correction Codes (ECC). However, many reported biometric binary features from the same user reach bit error rate (BER) as high as 40%, which exceeds the error correcting capability of most ECC (less than 25%). Therefore, a novel palmprint binary feature extraction method is proposed in this paper. The real-valued features are firstly extracted. Then one-bit quantization and reliable bits selection are processed. For verification multiple samples are required to be enrolled while training is not necessary. Experiments have been carried out on the HongKong PolyU Palmprint database. Results show that our method achieves much lower BER, lower verification error rate and allows a secret key long enough for security.
    Original languageEnglish
    Title of host publication33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux
    Place of PublicationEnschede
    PublisherWerkgemeenschap voor Informatie- en Communicatietheorie (WIC)
    Pages118-125
    Number of pages8
    ISBN (Print)978-90-365-3383-6
    Publication statusPublished - 24 May 2012
    Event33rd WIC Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux 2012 - Boekelo, Netherlands
    Duration: 24 May 201225 May 2012
    Conference number: 33

    Conference

    Conference33rd WIC Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux 2012
    CountryNetherlands
    CityBoekelo
    Period24/05/1225/05/12

    Fingerprint

    Biometrics
    Error correction
    Bit error rate
    Feature extraction
    Experiments

    Keywords

    • SCS-Safety
    • Biometric data
    • IR-83636
    • Palmprint
    • METIS-296254
    • EWI-22964

    Cite this

    Mu, M., Ruan, Q., Shao, X., Spreeuwers, L., & Veldhuis, R. (2012). Binary palmprint representation for feature template protection. In 33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux (pp. 118-125). Enschede: Werkgemeenschap voor Informatie- en Communicatietheorie (WIC).
    Mu, Meiru ; Ruan, Qiuqi ; Shao, Xiaoying ; Spreeuwers, Luuk ; Veldhuis, Raymond. / Binary palmprint representation for feature template protection. 33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux. Enschede : Werkgemeenschap voor Informatie- en Communicatietheorie (WIC), 2012. pp. 118-125
    @inproceedings{07b2289bfc054a6a949e1b713cd96933,
    title = "Binary palmprint representation for feature template protection",
    abstract = "The major challenge of biometric template protection comes from the intraclass variations of biometric data. The helper data scheme aims to solve this problem by employing the Error Correction Codes (ECC). However, many reported biometric binary features from the same user reach bit error rate (BER) as high as 40{\%}, which exceeds the error correcting capability of most ECC (less than 25{\%}). Therefore, a novel palmprint binary feature extraction method is proposed in this paper. The real-valued features are firstly extracted. Then one-bit quantization and reliable bits selection are processed. For verification multiple samples are required to be enrolled while training is not necessary. Experiments have been carried out on the HongKong PolyU Palmprint database. Results show that our method achieves much lower BER, lower verification error rate and allows a secret key long enough for security.",
    keywords = "SCS-Safety, Biometric data, IR-83636, Palmprint, METIS-296254, EWI-22964",
    author = "Meiru Mu and Qiuqi Ruan and Xiaoying Shao and Luuk Spreeuwers and Raymond Veldhuis",
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    booktitle = "33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux",
    publisher = "Werkgemeenschap voor Informatie- en Communicatietheorie (WIC)",
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    Mu, M, Ruan, Q, Shao, X, Spreeuwers, L & Veldhuis, R 2012, Binary palmprint representation for feature template protection. in 33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux. Werkgemeenschap voor Informatie- en Communicatietheorie (WIC), Enschede, pp. 118-125, 33rd WIC Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux 2012, Boekelo, Netherlands, 24/05/12.

    Binary palmprint representation for feature template protection. / Mu, Meiru; Ruan, Qiuqi; Shao, Xiaoying; Spreeuwers, Luuk; Veldhuis, Raymond.

    33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux. Enschede : Werkgemeenschap voor Informatie- en Communicatietheorie (WIC), 2012. p. 118-125.

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

    TY - GEN

    T1 - Binary palmprint representation for feature template protection

    AU - Mu, Meiru

    AU - Ruan, Qiuqi

    AU - Shao, Xiaoying

    AU - Spreeuwers, Luuk

    AU - Veldhuis, Raymond

    PY - 2012/5/24

    Y1 - 2012/5/24

    N2 - The major challenge of biometric template protection comes from the intraclass variations of biometric data. The helper data scheme aims to solve this problem by employing the Error Correction Codes (ECC). However, many reported biometric binary features from the same user reach bit error rate (BER) as high as 40%, which exceeds the error correcting capability of most ECC (less than 25%). Therefore, a novel palmprint binary feature extraction method is proposed in this paper. The real-valued features are firstly extracted. Then one-bit quantization and reliable bits selection are processed. For verification multiple samples are required to be enrolled while training is not necessary. Experiments have been carried out on the HongKong PolyU Palmprint database. Results show that our method achieves much lower BER, lower verification error rate and allows a secret key long enough for security.

    AB - The major challenge of biometric template protection comes from the intraclass variations of biometric data. The helper data scheme aims to solve this problem by employing the Error Correction Codes (ECC). However, many reported biometric binary features from the same user reach bit error rate (BER) as high as 40%, which exceeds the error correcting capability of most ECC (less than 25%). Therefore, a novel palmprint binary feature extraction method is proposed in this paper. The real-valued features are firstly extracted. Then one-bit quantization and reliable bits selection are processed. For verification multiple samples are required to be enrolled while training is not necessary. Experiments have been carried out on the HongKong PolyU Palmprint database. Results show that our method achieves much lower BER, lower verification error rate and allows a secret key long enough for security.

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    KW - Biometric data

    KW - IR-83636

    KW - Palmprint

    KW - METIS-296254

    KW - EWI-22964

    M3 - Conference contribution

    SN - 978-90-365-3383-6

    SP - 118

    EP - 125

    BT - 33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux

    PB - Werkgemeenschap voor Informatie- en Communicatietheorie (WIC)

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    Mu M, Ruan Q, Shao X, Spreeuwers L, Veldhuis R. Binary palmprint representation for feature template protection. In 33rd Symposium on Information Theory in the Benelux and the 2nd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux. Enschede: Werkgemeenschap voor Informatie- en Communicatietheorie (WIC). 2012. p. 118-125