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Exploratory Analysis of an Operational Iris Recognition Dataset from a CBSA Border-Crossing Application

Estefan Ortiz, Kevin W. Bowyer
CVPRW 2015 pp. 34-41
doi:10.1109/CVPRW.2015.7301317 /cvprw/2015/ortiz2015cvprw-exploratory/

Abstract

This paper presents an exploratory analysis of an iris recognition dataset from the NEXUS border-crossing program run by the Canadian Border Services Agency. The distribution of the normalized Hamming distance for successful border-crossing transactions is examined in the context of various properties of the operational scenario. The effects of properties such as match score censoring and truncation, same-sensor and cross-sensor matching, sequence-dependent matching, and multiple-kiosk matching are illustrated. Implications of these properties of the operational dataset for the study of iris template aging are discussed.

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Cite

Text

Ortiz and Bowyer. "Exploratory Analysis of an Operational Iris Recognition Dataset from a CBSA Border-Crossing Application." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2015. doi:10.1109/CVPRW.2015.7301317

Markdown

[Ortiz and Bowyer. "Exploratory Analysis of an Operational Iris Recognition Dataset from a CBSA Border-Crossing Application." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2015.](https://mlanthology.org/cvprw/2015/ortiz2015cvprw-exploratory/) doi:10.1109/CVPRW.2015.7301317

BibTeX

@inproceedings{ortiz2015cvprw-exploratory,
  title     = {{Exploratory Analysis of an Operational Iris Recognition Dataset from a CBSA Border-Crossing Application}},
  author    = {Ortiz, Estefan and Bowyer, Kevin W.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2015},
  pages     = {34-41},
  doi       = {10.1109/CVPRW.2015.7301317},
  url       = {https://mlanthology.org/cvprw/2015/ortiz2015cvprw-exploratory/}
}