Contrast Enhanced Subsurface Fingerprint Detection Using High-Speed Optical Coherence Tomography

Spectral-domain optical coherence tomography (SD-OCT) has been demonstrated to be a viable tool in forensic science for fingerprint detection, yet it still suffers from certain practical issues, e.g., the limited scanning speed and low image contrast. In this letter, we report a high-speed SD-OCT to...

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Main Authors: Yu, Xiaojun, Xiong, Qiaozhou, Luo, Yuemei, Wang, Nanshuo, Wang, Lulu, Tey, Hong Liang, Liu, Linbo
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2017
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Online Access:https://hdl.handle.net/10356/81954
http://hdl.handle.net/10220/42284
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-819542020-03-07T13:57:25Z Contrast Enhanced Subsurface Fingerprint Detection Using High-Speed Optical Coherence Tomography Yu, Xiaojun Xiong, Qiaozhou Luo, Yuemei Wang, Nanshuo Wang, Lulu Tey, Hong Liang Liu, Linbo School of Electrical and Electronic Engineering Fingerprint identification Biometrics Spectral-domain optical coherence tomography (SD-OCT) has been demonstrated to be a viable tool in forensic science for fingerprint detection, yet it still suffers from certain practical issues, e.g., the limited scanning speed and low image contrast. In this letter, we report a high-speed SD-OCT together with an image contrast enhancement mechanism for reliable subsurface fingerprint detection. The constructed SD-OCT system achieves a scanning rate up to 60k A-lines/s, and thus, both 3D volumetric images, reaching up to 20 mm × 20 mm × 1.2 mm, and en face internal fingerprint furrow pattern images could be obtained. Based upon the analyses of the papillary layer anatomical structures, the contrast enhancement technique not only suppresses image artifacts, but also is effective in detecting fingerprint spoofing. Experiments on healthy subjects have also been conducted to verify the system imaging capability and the effectiveness of the contrast-enhancement technique. NRF (Natl Research Foundation, S’pore) ASTAR (Agency for Sci., Tech. and Research, S’pore) MOE (Min. of Education, S’pore) NMRC (Natl Medical Research Council, S’pore) Accepted version 2017-04-19T03:47:18Z 2019-12-06T14:43:43Z 2017-04-19T03:47:18Z 2019-12-06T14:43:43Z 2017 2016 Journal Article Yu, X., Xiong, Q., Luo, Y., Wang, N., Wang, L., Tey, H. L., et al. (2016). Contrast Enhanced Subsurface Fingerprint Detection Using High-Speed Optical Coherence Tomography. IEEE Photonics Technology Letters, 29(1), 70-73. 1041-1135 https://hdl.handle.net/10356/81954 http://hdl.handle.net/10220/42284 10.1109/LPT.2016.2628840 198112 en IEEE Photonics Technology Letters © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [https://doi.org/10.1109/LPT.2016.2628840]. 4 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Fingerprint identification
Biometrics
spellingShingle Fingerprint identification
Biometrics
Yu, Xiaojun
Xiong, Qiaozhou
Luo, Yuemei
Wang, Nanshuo
Wang, Lulu
Tey, Hong Liang
Liu, Linbo
Contrast Enhanced Subsurface Fingerprint Detection Using High-Speed Optical Coherence Tomography
description Spectral-domain optical coherence tomography (SD-OCT) has been demonstrated to be a viable tool in forensic science for fingerprint detection, yet it still suffers from certain practical issues, e.g., the limited scanning speed and low image contrast. In this letter, we report a high-speed SD-OCT together with an image contrast enhancement mechanism for reliable subsurface fingerprint detection. The constructed SD-OCT system achieves a scanning rate up to 60k A-lines/s, and thus, both 3D volumetric images, reaching up to 20 mm × 20 mm × 1.2 mm, and en face internal fingerprint furrow pattern images could be obtained. Based upon the analyses of the papillary layer anatomical structures, the contrast enhancement technique not only suppresses image artifacts, but also is effective in detecting fingerprint spoofing. Experiments on healthy subjects have also been conducted to verify the system imaging capability and the effectiveness of the contrast-enhancement technique.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Yu, Xiaojun
Xiong, Qiaozhou
Luo, Yuemei
Wang, Nanshuo
Wang, Lulu
Tey, Hong Liang
Liu, Linbo
format Article
author Yu, Xiaojun
Xiong, Qiaozhou
Luo, Yuemei
Wang, Nanshuo
Wang, Lulu
Tey, Hong Liang
Liu, Linbo
author_sort Yu, Xiaojun
title Contrast Enhanced Subsurface Fingerprint Detection Using High-Speed Optical Coherence Tomography
title_short Contrast Enhanced Subsurface Fingerprint Detection Using High-Speed Optical Coherence Tomography
title_full Contrast Enhanced Subsurface Fingerprint Detection Using High-Speed Optical Coherence Tomography
title_fullStr Contrast Enhanced Subsurface Fingerprint Detection Using High-Speed Optical Coherence Tomography
title_full_unstemmed Contrast Enhanced Subsurface Fingerprint Detection Using High-Speed Optical Coherence Tomography
title_sort contrast enhanced subsurface fingerprint detection using high-speed optical coherence tomography
publishDate 2017
url https://hdl.handle.net/10356/81954
http://hdl.handle.net/10220/42284
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