We open source an easy to assemble, spoof resistant, high resolution, optical fingerprint reader, called RaspiReader, using ubiquitous components. By using our open source STL files and software, RaspiReader can be built in under one hour for only US $175. As such, RaspiReader provides the fingerprint research community a seamless and simple method for quickly prototyping new ideas involving fingerprint reader hardware. In particular, we posit that this open source fingerprint reader will facilitate the exploration of novel fingerprint spoof detection techniques involving both hardware and software. We demonstrate one such spoof detection technique by specially customizing RaspiReader with two cameras for fingerprint image acquisition. One camera provides high contrast, frustrated total internal reflection (FTIR) fingerprint images, and the other outputs direct images of the finger in contact with the platen. Using both of these image streams, we extract complementary information which, when fused together and used for spoof detection, results in marked performance improvement over previous methods relying only on grayscale FTIR images provided by COTS optical readers. Finally, fingerprint matching experiments between images acquired from the FTIR output of RaspiReader and images acquired from a COTS reader verify the interoperability of the RaspiReader with existing COTS optical readers.

中文翻译：

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RaspiReader：开源指纹读取器。

我们使用无处不在的组件开源易于组装，抗欺骗，高分辨率的光学指纹读取器，称为RaspiReader。使用我们的开源STL文件和软件，RaspiReader可以在1个小时内建成，价格仅为175美元。这样，RaspiReader为指纹研究社区提供了一种无缝且简单的方法，用于快速制作涉及指纹读取器硬件的新想法的原型。特别是，我们认为这种开源指纹读取器将有助于探索涉及硬件和软件的新型指纹欺骗检测技术。我们通过使用两个摄像头专门定制RaspiReader来获取指纹图像，演示了一种这样的欺骗检测技术。一台相机可提供高对比度，令人沮丧的全内反射（FTIR）指纹图像，另一个输出手指与压板接触的直接图像。使用这两个图像流，我们提取了互补信息，这些信息融合在一起并用于欺骗检测后，与仅依赖于COTS光学阅读器提供的灰度FTIR图像的先前方法相比，可显着提高性能。最后，从RaspiReader的FTIR输出获取的图像与从COTS阅读器获取的图像之间的指纹匹配实验验证了RaspiReader与现有COTS光学阅读器的互操作性。与仅依靠COTS光学阅读器提供的灰度FTIR图像的先前方法相比，可显着提高性能。最后，从RaspiReader的FTIR输出获取的图像与从COTS阅读器获取的图像之间的指纹匹配实验验证了RaspiReader与现有COTS光学阅读器的互操作性。与仅依靠COTS光学阅读器提供的灰度FTIR图像的先前方法相比，可显着提高性能。最后，从RaspiReader的FTIR输出获取的图像与从COTS阅读器获取的图像之间的指纹匹配实验验证了RaspiReader与现有COTS光学阅读器的互操作性。