Method for Fake Iris Detection Based on Wavelet Packet Decomposition

Iris recognition systems are vulnerable to spoofing by fake copies which include a fake iris printed onto a contact lens,glass eye,or other artifice.The anti-spoofing algorithm that picks out fake iris data is highly desirable.An application of wavelet packet decomposition to the feature extraction part of a fake iris detection algorithm is represented.First,2-layer wavelet packet decomposition is performed to the target image.Then,the entropy value associated with each sub-image is calculated.Finally,the sum of the entropy values is used as a feature value for discriminating fake iris from real ones.Experiments,conducted on a database of 500 iris images indicate the method to be very effective.