ML Anthology

Multi-Modal Biometrics Involving the Human Ear

Christopher Middendorff, Kevin W. Bowyer, Ping Yan
CVPR 2007
doi:10.1109/CVPR.2007.383521 /cvpr/2007/middendorff2007cvpr-multi/

Abstract

Due to its semi-rigid shape and robustness against change over time, the ear has become an increasingly popular biometric feature. It has been shown that combining individual biometric methods into multi-biometric systems improves recognition. What features should be used, how they should be captured, what algorithms should be used, and how they should be combined are all open questions. In this paper, we discuss several existing methods of combination and the recognition rates of each.

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Cite

Text

Middendorff et al. "Multi-Modal Biometrics Involving the Human Ear." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383521

Markdown

[Middendorff et al. "Multi-Modal Biometrics Involving the Human Ear." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/middendorff2007cvpr-multi/) doi:10.1109/CVPR.2007.383521

BibTeX

@inproceedings{middendorff2007cvpr-multi,
  title     = {{Multi-Modal Biometrics Involving the Human Ear}},
  author    = {Middendorff, Christopher and Bowyer, Kevin W. and Yan, Ping},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383521},
  url       = {https://mlanthology.org/cvpr/2007/middendorff2007cvpr-multi/}
}