3D high-resolution subsurface fingerprint imaging using superresolution optical coherence tomography

Kai Shen; Sarfaraz Baig; Diego Palacios; Michael R. Wang

doi:10.1117/12.2511812

22 February 2019 3D high-resolution subsurface fingerprint imaging using superresolution optical coherence tomography

Kai Shen, Sarfaraz Baig, Diego Palacios, Michael R. Wang

Proceedings Volume 10867, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIII; 108673M (2019) https://doi.org/10.1117/12.2511812
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

We report a multi-frame superresolution enhanced spectral domain optical coherence tomography (SD-OCT) for fast and high quality in vivo 3D imaging of subsurface fingerprint. After acquiring several sets of low resolution C-scans 3D fingerprint images with lateral sub-spot-spacing shifts, a high lateral resolution and high quality 3D image is reconstructed by multi-frame superresolution processing. In experiment, about 3 times lateral resolution improvement has been achieved from 25 to 7.81 μm with sample arm optics of 0.015 numerical aperture, as well as doubling the image quality. For in vivo 3D SD-OCT imaging, high quality 3D subsurface live fingerprint images have been obtained within a short scan time, showing beautiful and clear distribution of eccrine sweat glands that could be an effective indictor to SD-OCT lateral resolution. Without using any complex segment algorithm, our high quality 3D fingerprint image could be easily separated into three layers: the external fingerprint patterns, the distribution of eccrine sweat glands, and the internal fingerprint pattern. The latter two subsurface layers will benefit high security biometry applications against spoofing attacks.

Citation Download Citation

Kai Shen, Sarfaraz Baig, Diego Palacios, and Michael R. Wang "3D high-resolution subsurface fingerprint imaging using superresolution optical coherence tomography", Proc. SPIE 10867, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIII, 108673M (22 February 2019); https://doi.org/10.1117/12.2511812

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