Avoiding Spectacles Reflections on Iris Images Using A Ray-tracing Method

2021 IEEE International Joint Conference on Biometrics (IJCB)(2021)

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摘要
Spectacles reflection removal is a challenging problem in iris recognition research. The reflection of the spectacles usually contaminates the iris image acquired under infrared illumination. The intense light reflection caused by the active light source makes reflection removal more challenging than normal scenes since important iris texture features are entirely obscured. Eliminating unnecessary reflections can effectively improve iris recognition system performance. This paper proposes a spectacle reflection removal algorithm based on ray coding and ray tracking to remove spectacle reflection in iris images. By decoding the light source’s encoded light beam, the iris imaging device eliminates most of the stray light. Our binocular imaging device tracks the light path to obtain parallax information and realizes reflected light spot removal through image fusion. We designed a prototype system to verify our proposed method in this paper. This method can effectively eliminate reflections without changing iris texture and improve iris recognition in complex scenarios.
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关键词
iris image,intense light reflection,active light source,iris texture features,unnecessary reflections,iris recognition system performance,spectacle reflection removal algorithm,ray coding,ray tracking,iris imaging device,stray light,binocular imaging device,light path,light spot removal,image fusion,ray-tracing method
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