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3D High-resolution Subsurface Fingerprint Imaging using Superresolution Optical Coherence Tomography

机译:使用超高分辨率光学相干层析成像技术的3D高分辨率地下指纹成像

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摘要

We report a multi-frame superresolution enhanced spectral domain optical coherence tomography (SD-OCT) forfast and high quality in vivo 3D imaging of subsurface fingerprint. After acquiring several sets of low resolutionC-scans 3D fingerprint images with lateral sub-spot-spacing shifts, a high lateral resolution and high quality 3Dimage is reconstructed by multi-frame superresolution processing. In experiment, about 3 times lateral resolutionimprovement has been achieved from 25 to 7.81 μm with sample arm optics of 0.015 numerical aperture, as wellas doubling the image quality. For in vivo 3D SD-OCT imaging, high quality 3D subsurface live fingerprintimages have been obtained within a short scan time, showing beautiful and clear distribution of eccrine sweatglands that could be an effective indictor to SD-OCT lateral resolution. Without using any complex segmentalgorithm, our high quality 3D fingerprint image could be easily separated into three layers: the externalfingerprint patterns, the distribution of eccrine sweat glands, and the internal fingerprint pattern. The latter twosubsurface layers will benefit high security biometry applications against spoofing attacks.
机译:我们报告了一种多帧超分辨率增强型光谱域光学相干断层扫描(SD-OCT),用于快速,高质量的体内3D地下指纹成像。在获取了几组具有横向子点间距偏移的低分辨率\ r \ nC扫描3D指纹图像后,通过多帧超分辨率处理重建了高横向分辨率和高质量3D \ r \ nimage。在实验中,使用0.015数值孔径的样品臂光学器件,从25到7.81μm可获得约3倍的横向分辨率\ r \ n,并且图像质量提高了一倍。对于体内3D SD-OCT成像,已在短扫描时间内获得了高质量的3D地下活体指纹\ r \ n图像,显示出美丽而清晰的内分泌汗液分布\可能是SD-OCT的有效指标横向分辨率。无需使用任何复杂的段\算法\算法,我们的高质量3D指纹图像就可以轻松分为三层:外部指纹图案,内分泌汗腺分布和内部指纹图案。后两个地下层将使高安全性生物特征识别应用程序免受欺骗攻击。

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  • 会议地点 2410-9045;1605-7422
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    Department of Electrical and Computer Engineering,University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146;

    Department of Electrical and Computer Engineering,University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146;

    Department of Electrical and Computer Engineering,University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146;

    Department of Electrical and Computer Engineering,University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146 Tel. (305) 284-4041, Fax (305) 284-4044, email: mwang@miami.edu;

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