This work presents an automated touchless fingerprint recognition system for smartphones. We provide a comprehensive description of the entire recognition pipeline and discuss important requirements for a fully automated capturing system. Also, our implementation is made publicly available for research purposes. During a database acquisition, a total number of 1,360 touchless and touch-based samples of 29 subjects are captured in two different environmental situations. Experiments on the acquired database show a comparable performance of our touchless scheme and the touch-based baseline scheme under constrained environmental influences. A comparative usability study on both capturing device types indicates that the majority of subjects prefer the touchless capturing method. Based on our experimental results we analyze the impact of the current COVID-19 pandemic on fingerprint recognition systems. Finally, implementation aspects of touchless fingerprint recognition are summarized.

中文翻译：

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移动非接触式指纹识别：实现，性能和可用性方面

这项工作提出了一种用于智能手机的自动非接触式指纹识别系统。我们提供了整个识别流程的全面描述，并讨论了全自动捕获系统的重要要求。此外，出于研究目的，我们的实施也已公开提供。在数据库获取期间，在两种不同的环境情况下，总共捕获了29个对象的1,360个非接触式和基于触摸的样本。在获得的数据库上进行的实验表明，在有限的环境影响下，我们的非接触式方案和基于触摸的基准方案的性能相当。对两种捕获设备类型的比较可用性研究表明，大多数对象都喜欢非接触式捕获方法。根据我们的实验结果，我们分析了当前COVID-19大流行对指纹识别系统的影响。最后，总结了非接触式指纹识别的实现方面。