A new iris liveness detection method against contact lens spoofing

Liveness detection is an important and challenging issue in iris recognition system security against spoofing. In this paper, a new iris liveness detection method is proposed against semi-transparent contact lens based spoofing. The proposed method works through iris texture dissimilarity between two iris regions due to pupillary light reflex. The texture dissimilarity is computed in the iris region that can be superimposed by a contact lens and it exists from the expanded pupil to outer iris boundary. The normalized Hamming distance computed on binary texture features is used to quantify textural dissimilarity between localized iris regions. Simulation results show that live iris textures produce high values of Hamming distance with the decreasing trend from inner to outer iris boundary.