Paper
12 October 2010 Liveness iris detection method based on the eye's optical features
Yuqing He, Yushi Hou, Yingjiao Li, Yueming Wang
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuqing He, Yushi Hou, Yingjiao Li, and Yueming Wang "Liveness iris detection method based on the eye's optical features", Proc. SPIE 7838, Optics and Photonics for Counterterrorism and Crime Fighting VI and Optical Materials in Defence Systems Technology VII, 78380R (12 October 2010); https://doi.org/10.1117/12.868899
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CITATIONS
Cited by 8 scholarly publications and 6 patents.
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KEYWORDS
Iris recognition

Eye

Sclera

Image analysis

Iris

Infrared imaging

Infrared radiation

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