A Cross-Sensor Evaluation of Three Commercial Iris Cameras for Iris Biometrics

Ryan Connaughton, Amanda Sgroi, Kevin W. Bowyer, Patrick J. Flynn

CVPRW 2011 pp. 90-97

doi:10.1109/CVPRW.2011.5981814 /cvprw/2011/connaughton2011cvprw-crosssensor/

Abstract

As iris biometrics increasingly becomes a large-scale application, the issue of interoperability between iris sensors becomes an important topic of research. This work presents experiments which compare three commercially available iris sensors and investigates the impact of cross-sensor matching on system performance. The sensors are evaluated using three different iris matching algorithms, and conclusions are drawn regarding the interaction between the sensors and the matching algorithm in a cross-sensor scenario.

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Cite

Text

Connaughton et al. "A Cross-Sensor Evaluation of Three Commercial Iris Cameras for Iris Biometrics." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011. doi:10.1109/CVPRW.2011.5981814

Markdown

[Connaughton et al. "A Cross-Sensor Evaluation of Three Commercial Iris Cameras for Iris Biometrics." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011.](https://mlanthology.org/cvprw/2011/connaughton2011cvprw-crosssensor/) doi:10.1109/CVPRW.2011.5981814

BibTeX

@inproceedings{connaughton2011cvprw-crosssensor,
  title     = {{A Cross-Sensor Evaluation of Three Commercial Iris Cameras for Iris Biometrics}},
  author    = {Connaughton, Ryan and Sgroi, Amanda and Bowyer, Kevin W. and Flynn, Patrick J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2011},
  pages     = {90-97},
  doi       = {10.1109/CVPRW.2011.5981814},
  url       = {https://mlanthology.org/cvprw/2011/connaughton2011cvprw-crosssensor/}
}