@inproceedings{c000733090c94a3d9a64f715608f0224,
title = "Liveness iris detection method based on the eye's optical features",
abstract = "Iris recognition is the most reliable method in personal identification. With the increase of real applications based on iris recognition, liveness detection is becoming more and more important. Here we proposed a liveness iris detection method based on the eye's optical features. With the help of designing special imaging and infrared illumination module and image analysis, we can implement the detection. The methods include finding the change of iris texture and light spot under different waveband and position of the infrared illumination, calculating the difference of the reflection property in different iris parts. We combine the methods and get the fusion results as the criteria. Experimental results show that this method can help the system distinguish the real iris and traditional kinds of fake irises since it combines the optical features of the real iris.",
keywords = "Illumination, Iris recognition, Liveness detection, Optical feature, Reflection property",
author = "Yuqing He and Yushi Hou and Yingjiao Li and Yueming Wang",
year = "2010",
doi = "10.1117/12.868899",
language = "English",
isbn = "9780819483560",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Optics and Photonics for Counterterrorism and Crime Fighting VI and Optical Materials in Defence Systems Technology VII",
note = "Optics and Photonics for Counterterrorism and Crime Fighting VI and Optical Materials in Defence Systems Technology VII ; Conference date: 20-09-2010 Through 23-09-2010",
}