Contact lens detection in iris images

Iris texture provides the means for extremely accurate uni-modal person identification. However, the accuracy of iris-based biometric systems is sensitive to the presence of contact lenses in acquired sample images. This is especially true in the case of textured (cosmetic) contact lenses that can be effectively used to obscure the original iris texture of a subject and consequently to perform presentation attacks. Since also transparent contact lenses can degrade matching rates, automatic detection and classification of different contact lens types is needed in order to improve the robustness of iris-based biometric systems. This chapter introduces the problem of contact lens detection with particular focus on cosmetic contact lenses. The state of the art is analysed thoroughly and a case study on generalised textured contact lens detection is provided. The potential future research directions are also discussed.

[1]  Richa Singh,et al.  Unraveling the Effect of Textured Contact Lenses on Iris Recognition , 2014, IEEE Transactions on Information Forensics and Security.

[2]  Tieniu Tan,et al.  Counterfeit iris detection based on texture analysis , 2008, 2008 19th International Conference on Pattern Recognition.

[3]  Patrick J. Flynn,et al.  Effects of iris surface curvature on iris recognition , 2013, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS).

[4]  Tieniu Tan,et al.  Contact Lens Detection Based on Weighted LBP , 2010, 2010 20th International Conference on Pattern Recognition.

[5]  Ioannis Rigas,et al.  Eye movement-driven defense against iris print-attacks , 2015, Pattern Recognit. Lett..