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Biometric Binary String Generation with Detection Rate Optimized Bit Allocation

Chun Chen, Raymond N. J. Veldhuis, Tom A. M. Kevenaar, Anton H. M. Akkermans
CVPRW 2008 pp. 1-7
doi:10.1109/CVPRW.2008.4563112 /cvprw/2008/chen2008cvprw-biometric/

Abstract

Extracting binary strings from real-valued templates has been a fundamental issue in many biometric template protection systems. In this paper, we present an optimal bit allocation method (OBA). By means of it, a binary string at a pre-defined length with maximized overall detection rate is generated. Experiments with the binary strings and a Hamming distance classifier on FRGC and FERET databases show promising performance in terms of FAR and FRR.

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Cite

Text

Chen et al. "Biometric Binary String Generation with Detection Rate Optimized Bit Allocation." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563112

Markdown

[Chen et al. "Biometric Binary String Generation with Detection Rate Optimized Bit Allocation." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/chen2008cvprw-biometric/) doi:10.1109/CVPRW.2008.4563112

BibTeX

@inproceedings{chen2008cvprw-biometric,
  title     = {{Biometric Binary String Generation with Detection Rate Optimized Bit Allocation}},
  author    = {Chen, Chun and Veldhuis, Raymond N. J. and Kevenaar, Tom A. M. and Akkermans, Anton H. M.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-7},
  doi       = {10.1109/CVPRW.2008.4563112},
  url       = {https://mlanthology.org/cvprw/2008/chen2008cvprw-biometric/}
}