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Performance characterization of structured light based fingerprint scanner

机译：基于结构光的指纹扫描仪的性能表征

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Our group believes that the evolution of fingerprint capture technology is in transition to include 3-D non-contact fingerprint capture. More specifically we believe that systems based on structured light illumination provide the highest level of depth measurement accuracy. However, for these new technologies to be fully accepted by the biometric community, they must be compliant with federal standards of performance. At present these standards do not exist for this new biometric technology. We propose and define a set of test procedures to be used to verify compliance with the Federal Bureau of Investigation's image quality specification for Personal Identity Verification single fingerprint capture devices. The proposed test procedures include: geometric accuracy, lateral resolution based on intensity or depth, gray level uniformity and flattened fingerprint image quality. Several 2-D contact analogies, performance tradeoffs and optimization dilemmas are evaluated and proposed solutions are presented.
机译：我们的小组认为，指纹捕获技术正在向包括3D非接触式指纹捕获的过渡。更具体地说，我们认为基于结构化光照的系统可提供最高水平的深度测量精度。但是，要使这些新技术被生物识别社区完全接受，它们必须符合联邦绩效标准。目前，对于这种新的生物识别技术，尚不存在这些标准。我们提出并定义了一套测试程序，用于验证是否符合联邦调查局针对“个人身份验证”单指纹捕获设备的图像质量规范。建议的测试程序包括：几何精度，基于强度或深度的横向分辨率，灰度均匀性和平坦的指纹图像质量。评估了几种二维接触类比，性能折衷和优化难题，并提出了建议的解决方案。

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