Iris Liveness Detection by Modeling Dynamic Pupil Features-Reference-Cited by-同舟云学术

Iris Liveness Detection by Modeling Dynamic Pupil Features

Published:2016 Issue: Volume: Page:439-467
ISSN:2191-6586
Container-title:Handbook of Iris Recognition
language:
Short-container-title:

Author:

Czajka Adam

Publisher

Springer London

Link

http://link.springer.com/content/pdf/10.1007/978-1-4471-6784-6_19

Reference41 articles.

1. Biometric Institute, Biometric Vulnerability Assessment Expert Group (BVAEG). (2015) http://www.biometricsinstitute.org

2. J. Cohn et al., Automatic recognition of eye blinking in spontaneously occurring behavior. Behav. Res. Methods Instrum. Comput. 35(3), 420–428 (2003)

3. J. Connell et al., Fake iris detection using structured light, in 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2013), pp. 8692–8696

4. A. Czajka, Database of iris printouts and its application: Development of liveness detection method for iris recognition, in 2013 18th International Conference on Methods and Models in Automation and Robotics (MMAR) (2013), pp. 28–33

5. A. Czajka, Pupil dynamics for iris liveness detection. IEEE Trans. Inf. Forensics Secur. 10(4), 726–735 (2015)

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