A collection of published Noblis forensics research studies evaluating iris recognition.
- Kalka ND, Bartlow N, Cukic B, Ross A. “A Preliminary Study on Identifying Sensors from Iris Images,” Proc. of IEEE Computer Society Workshop on Biometrics at the Computer Vision and Pattern Recognition (CVPR) Conference, (Boston, USA), June 2015. https://www.cse.msu.edu/~rossarun/pubs/KalkaBartlowCukicRossIrisSensorForensics_CVPRW2015.pdf (open access)
- Kalka ND, Zuo J, Schmid NA, Cukic B. (2010). Estimating and Fusing Quality Factors for Iris Biometric Images, IEEE Transactions on Systems, Man and Cybernetics – Part A: Systems and Humans, Vol 40(3), pp. 509-524. https://doi.org/10.1109/TSMCA.2010.2041658
- Kalka ND, Bartlow N, Cukic B, “An automated method for predicting iris segmentation failures”, in Proc of IEEE Conference on Biometrics, Theory, Applications, and Systems, 2009. https://doi.org/10.1109/BTAS.2009.5339062
- Bartlow N, Kalka ND, Cukic B, Ross A (2007). Protecting Iris Images through Asymmetric Digital Watermarking, of 5th IEEE Workshop on Automatic Identification Advanced Technologies (AutoID), Alghero, Italy, pp. 191-197. https://doi.org/10.1109/AUTOID.2007.380618
- Zuo J, Kalka ND, Schmid NA (2006). A Robust Iris Procedure for Unconstrained Subject Presentation, in Proc. Biometrics Consortium Conf., Baltimore, Maryland. September 19-21. https://doi.org/10.1109/BCC.2006.4341623