Analysis of the effect of ageing, age, and other factors on iris recognition performance using NEXUS scores dataset
Author:
Affiliation:
1. Science and Engineering DirectorateCanada Border Services AgencyOttawaCanada
2. Business Application Services DirectorateCanada Border Services AgencyOttawaCanada
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-bmt.2018.5105
Reference36 articles.
1. ‘Canada Border Services Agency’. NEXUS Air Available atwww.cbsa-asfc.gc.ca/prog/nexus/air-aerien-eng.html Accessed: 6 November 2017
2. Grother P. Matey J.R. Tabassi E. et al. : ‘IREX VI. Temporal stability of iris recognition accuracy’ NIST Interagency Report 7948 2013
3. ‘IET Biometrics Journal’ November2017 Iris Ageing Debate in IET Biometrics Available athttp://www.theiet.org/resources/irisageing.cfm accessed September 2015
4. IREX VI: mixed‐effects longitudinal models for iris ageing: response to Bowyer and Ortiz
5. Critical examination of the IREX VI results
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