Presentation Attack Detection for Iris Recognition
The term “presentation attack” refers to making a presentation to the sensor with the goal of manipulating the system into an incorrect decision. In this project we develop methods to detect diverse presentation attacks, including unknown presentation attack instruments. Our methods can detect diverse artifacts, such as textured contact lenses, iris printed on a paper, and even cadaver eyes, We are a co-organizer of the iris presentation attack detection competition LivDet-Iris (www.livdet.org), which had already three editions. Czajka and Bowyer prepared recently the most comprehensive survey on iris presentation attack detection (to appear in ACM Computing Surveys).
Adam Czajka, Andrey Kuehlkamp, Kevin Bowyer
Collaborators: Allan Pinto
Recognition of Post-mortem Irises for Presentation Attack Detection, Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz, accepted for publication at The 9th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS 2018), Los Angeles, California, October 22-25, 2018: Not yet available
Presentation Attack Detection for Iris Recognition: An Assessment of the State of the Art, Adam Czajka, Kevin Bowyer, to appear in ACM Computing Surveys, June 2018: [arxiv] [pdf]
Recognition of Image-Orientation-Based Iris Spoofing, Adam Czajka, Kevin Bowyer, Michael Krumdick, Rosaura Vidal Mata, IEEE Transactions on Information Forensics and Security, Vol. 12, No. 9, pp. 2184-2196, Sept. 2017: [pdf]
LivDet-Iris 2015 – Iris Liveness Detection Competition 2015, David Yambay, Brian Walczak, Stephanie Schuckers, Adam Czajka, IEEE, February 2017: [pdf]
Pupil Dynamics for Iris Liveness Detection, Adam Czajka, IEEE Transactions on Information Forensics and Security, Vol. 10(4), pp. 726-735, April 2015: [pdf]
PatentNo: US 8,061,842B2: [pdf]
