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

Yu Tian, Kunbo Zhang, Leyuan Wang, Chong Zhang
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Abstract

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.
利用光线追踪方法避免虹膜图像上的眼镜反射
眼镜反射去除是虹膜识别研究中的一个难题。眼镜的反射通常会污染在红外照射下获得的虹膜图像。由于重要的虹膜纹理特征完全被遮挡,由有源引起的强烈光反射使得反射去除比正常场景更具挑战性。消除不必要的反射可以有效地提高虹膜识别系统的性能。提出了一种基于光线编码和光线跟踪的眼镜反射去除算法,用于去除虹膜图像中的眼镜反射。通过解码光源的编码光束,虹膜成像装置消除了大部分杂散光。双目成像装置跟踪光路获取视差信息,通过图像融合实现反射光斑去除。我们设计了一个原型系统来验证本文提出的方法。该方法可以在不改变虹膜纹理的情况下有效消除反射,提高复杂场景下的虹膜识别能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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