Finger vein pattern recognition is an emerging biometric with a good resistance to presentation attacks and low error rates. One problem is that it is hard to obtain ground truth finger vein patterns from live fingers. In this paper we propose an advanced method to create finger vein phantoms using 3D printing where we mimic the optical properties of the various tissues inside the fingers, like bone, veins and soft tissues using different printing materials and parameters. We demonstrate that we are able to create finger phantoms that result in realistic finger vein images and precisely known vein patterns. These phantoms can be used to develop and evaluate finger vein extraction and recognition methods. In addition, we show that the finger vein phantoms can be used to spoof a finger vein recognition system. This paper is based on the Master's thesis of Rasmus van der Grift.

翻译：手指静脉模式识别是一种新兴的生物特征识别技术，具有良好的抗呈现攻击能力和低错误率。然而，从活体手指获取真实手指静脉模式的地面真值是一个难题。本文提出了一种使用3D打印技术创建手指静脉模型的高级方法，通过采用不同打印材料和参数，模拟手指内部各类组织（如骨骼、静脉和软组织）的光学特性。我们证明，所制作的手指模型能够生成真实的手指静脉图像，并具有精确已知的静脉模式。这些模型可用于开发和评估手指静脉提取与识别方法。此外，我们展示了该手指静脉模型能够欺骗手指静脉识别系统。本文基于Rasmus van der Grift的硕士论文。