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Exploratory Analysis of an Operational Iris Recognition Dataset From a CBSA Border-Crossing Application
AbstractThis 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.
Related Material
[pdf][bibtex]@InProceedings{Ortiz_2015_CVPR_Workshops,
author = {Ortiz, Estefan and Bowyer, Kevin W.},
title = {Exploratory Analysis of an Operational Iris Recognition Dataset From a CBSA Border-Crossing Application},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2015}
}
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