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Performance characterization of structured light based fingerprint scanner

机译:基于结构光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,指纹捕获技术的演变在过渡到包括3-D非接触式指纹捕获。更具体地说,我们认为基于结构光照射的系统提供了最高水平的深度测量精度。但是,对于这些新技术被生物识别社区充分接受,必须符合联邦绩效标准。目前,这种新的生物识别技术不存在这些标准。我们提出并定义了一组测试程序,用于验证是否符合个人身份验证单指纹捕获设备的个人身份验证的图像质量规范的遵守情况。所提出的测试程序包括:几何精度,基于强度或深度,灰度均匀性和扁平指纹图像质量的横向分辨率。评估了几种2-D触点模拟,性能权衡和优化困境,并提出了解决方案。

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