Bits extraction for palmprint template protection with Gabor magnitude and multi-bit quantization

Meiru Mu, X. Shao, Qiuqi Ruan, Lieuwe Jan Spreeuwers, Raymond N.J. Veldhuis

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

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Abstract

In this paper, we propose a method of fixed-length binary string extraction (denoted by LogGM_DROBA) from low-resolution palmprint image for developing palmprint template protection technology. In order to extract reliable (stable and discriminative) bits, multi-bit equal-probability-interval quantization and detection rate optimized bit allocation (DROBA) are operated on the real-valued features, which are resulted from representing the palmprint image by simple statistics on logarithmic transform of Gabor magnitude (LogGM). Assuming the Helper Data Scheme with a BCH error correction coding is adopted for template protection, the performance is evaluated on the Hong Kong PolyU palmprint database. The experimental results show that our method can achieve low Bit Error Rate (BER) resulted from genuine binary strings so that a long secret key (around 100 bits) is allowed to be combined for security, and low False Rejection Rate and low False Acceptance Rate (FRR/FAR) when the key retrial process is considered as a Hamming distance classifier, which verify the high stability and strong distinctive ability of our extracted palmprint binary string.
Original languageUndefined
Title of host publicationProceedings of the 2013 International Conference on Biometrics (ICB)
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages1-7
Number of pages7
ISBN (Print)978-1-4799-0310-8
DOIs
Publication statusPublished - 4 Jun 2013
Event6th IAPR International Conference on Biometrics, ICB 2013 - School of Mining Engineering, Madrid, Spain
Duration: 4 Jun 20137 Jun 2013
Conference number: 6
https://atvs.ii.uam.es/icb2013/

Publication series

Name
PublisherIEEE

Conference

Conference6th IAPR International Conference on Biometrics, ICB 2013
Abbreviated titleICB
CountrySpain
CityMadrid
Period4/06/137/06/13
Internet address

Keywords

  • EWI-23947
  • SCS-Safety
  • Palmprint
  • IR-87791
  • Template Protection
  • Biometrics
  • METIS-300147
  • gabor filter

Cite this

Mu, M., Shao, X., Ruan, Q., Spreeuwers, L. J., & Veldhuis, R. N. J. (2013). Bits extraction for palmprint template protection with Gabor magnitude and multi-bit quantization. In Proceedings of the 2013 International Conference on Biometrics (ICB) (pp. 1-7). Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ICB.2013.6612998
Mu, Meiru ; Shao, X. ; Ruan, Qiuqi ; Spreeuwers, Lieuwe Jan ; Veldhuis, Raymond N.J. / Bits extraction for palmprint template protection with Gabor magnitude and multi-bit quantization. Proceedings of the 2013 International Conference on Biometrics (ICB). Piscataway, NJ, USA : IEEE, 2013. pp. 1-7
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title = "Bits extraction for palmprint template protection with Gabor magnitude and multi-bit quantization",
abstract = "In this paper, we propose a method of fixed-length binary string extraction (denoted by LogGM_DROBA) from low-resolution palmprint image for developing palmprint template protection technology. In order to extract reliable (stable and discriminative) bits, multi-bit equal-probability-interval quantization and detection rate optimized bit allocation (DROBA) are operated on the real-valued features, which are resulted from representing the palmprint image by simple statistics on logarithmic transform of Gabor magnitude (LogGM). Assuming the Helper Data Scheme with a BCH error correction coding is adopted for template protection, the performance is evaluated on the Hong Kong PolyU palmprint database. The experimental results show that our method can achieve low Bit Error Rate (BER) resulted from genuine binary strings so that a long secret key (around 100 bits) is allowed to be combined for security, and low False Rejection Rate and low False Acceptance Rate (FRR/FAR) when the key retrial process is considered as a Hamming distance classifier, which verify the high stability and strong distinctive ability of our extracted palmprint binary string.",
keywords = "EWI-23947, SCS-Safety, Palmprint, IR-87791, Template Protection, Biometrics, METIS-300147, gabor filter",
author = "Meiru Mu and X. Shao and Qiuqi Ruan and Spreeuwers, {Lieuwe Jan} and Veldhuis, {Raymond N.J.}",
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Mu, M, Shao, X, Ruan, Q, Spreeuwers, LJ & Veldhuis, RNJ 2013, Bits extraction for palmprint template protection with Gabor magnitude and multi-bit quantization. in Proceedings of the 2013 International Conference on Biometrics (ICB). IEEE, Piscataway, NJ, USA, pp. 1-7, 6th IAPR International Conference on Biometrics, ICB 2013, Madrid, Spain, 4/06/13. https://doi.org/10.1109/ICB.2013.6612998

Bits extraction for palmprint template protection with Gabor magnitude and multi-bit quantization. / Mu, Meiru; Shao, X.; Ruan, Qiuqi; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.

Proceedings of the 2013 International Conference on Biometrics (ICB). Piscataway, NJ, USA : IEEE, 2013. p. 1-7.

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

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AB - In this paper, we propose a method of fixed-length binary string extraction (denoted by LogGM_DROBA) from low-resolution palmprint image for developing palmprint template protection technology. In order to extract reliable (stable and discriminative) bits, multi-bit equal-probability-interval quantization and detection rate optimized bit allocation (DROBA) are operated on the real-valued features, which are resulted from representing the palmprint image by simple statistics on logarithmic transform of Gabor magnitude (LogGM). Assuming the Helper Data Scheme with a BCH error correction coding is adopted for template protection, the performance is evaluated on the Hong Kong PolyU palmprint database. The experimental results show that our method can achieve low Bit Error Rate (BER) resulted from genuine binary strings so that a long secret key (around 100 bits) is allowed to be combined for security, and low False Rejection Rate and low False Acceptance Rate (FRR/FAR) when the key retrial process is considered as a Hamming distance classifier, which verify the high stability and strong distinctive ability of our extracted palmprint binary string.

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Mu M, Shao X, Ruan Q, Spreeuwers LJ, Veldhuis RNJ. Bits extraction for palmprint template protection with Gabor magnitude and multi-bit quantization. In Proceedings of the 2013 International Conference on Biometrics (ICB). Piscataway, NJ, USA: IEEE. 2013. p. 1-7 https://doi.org/10.1109/ICB.2013.6612998