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...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2017
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| Online Access: | https://hdl.handle.net/10356/81954 http://hdl.handle.net/10220/42284 |
| _version_ | 1826111565726744576 |
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| author | Yu, Xiaojun Xiong, Qiaozhou Luo, Yuemei Wang, Nanshuo Wang, Lulu Tey, Hong Liang Liu, Linbo |
| 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 |
| author_sort | Yu, Xiaojun |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T02:52:50Z |
| format | Journal Article |
| id | ntu-10356/81954 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:52:50Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-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 |
| 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 |
| title | 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_short | Contrast Enhanced Subsurface Fingerprint Detection Using High-Speed Optical Coherence Tomography |
| title_sort | contrast enhanced subsurface fingerprint detection using high speed optical coherence tomography |
| topic | Fingerprint identification Biometrics |
| url | https://hdl.handle.net/10356/81954 http://hdl.handle.net/10220/42284 |
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