TY - GEN
T1 - Reliable internal fingerprint detection using micro-optical coherence tomography
AU - Yu, Xiaojun
AU - Xiong, Qiaozhou
AU - Luo, Yuemei
AU - Wang, Nanshuo
AU - Wang, Lulu
AU - Tey, Hong Liang
AU - Liu, Linbo
N1 - Publisher Copyright:
© 2017 IEEE. All rights reserved.
PY - 2017/11/22
Y1 - 2017/11/22
N2 - Fingerprint recognition is a method commonly utilized for both personal identification and security control in practice. Based mainly on 2D surface topography analysis, however, most of the existing methods are prone to both spoofing attacks and fingertip surface conditions. To address such issues, we report on an internal fingerprint detection method based on the papillary layer anatomical structures using a lab-built optical coherence tomography (OCT) system, which achieves a resolution of 2.3 μm and -7.81 μm in axial and lateral directions, respectively. Specifically, to facilitate the fingerprint identification process, a simple image processing method based on the papillary layer anatomical analysis for OCT image contrast enhancement is also proposed. In vivo experiments are carried out to verify the system imaging capability and the effectiveness of the proposed contrast-enhancement mechanism in different cases. Results show that the system together with the image processing method is capable of providing reliable internal fingerprint imaging for identification purpose. The main factors that limit the practical applications of the OCT system for fingerprint identification are also discussed.
AB - Fingerprint recognition is a method commonly utilized for both personal identification and security control in practice. Based mainly on 2D surface topography analysis, however, most of the existing methods are prone to both spoofing attacks and fingertip surface conditions. To address such issues, we report on an internal fingerprint detection method based on the papillary layer anatomical structures using a lab-built optical coherence tomography (OCT) system, which achieves a resolution of 2.3 μm and -7.81 μm in axial and lateral directions, respectively. Specifically, to facilitate the fingerprint identification process, a simple image processing method based on the papillary layer anatomical analysis for OCT image contrast enhancement is also proposed. In vivo experiments are carried out to verify the system imaging capability and the effectiveness of the proposed contrast-enhancement mechanism in different cases. Results show that the system together with the image processing method is capable of providing reliable internal fingerprint imaging for identification purpose. The main factors that limit the practical applications of the OCT system for fingerprint identification are also discussed.
KW - Biological imaging
KW - Fingerprint detection
KW - OCT
UR - http://www.scopus.com/inward/record.url?scp=85044144848&partnerID=8YFLogxK
U2 - 10.1109/CLEOPR.2017.8118612
DO - 10.1109/CLEOPR.2017.8118612
M3 - 会议稿件
AN - SCOPUS:85044144848
T3 - 2017 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2017
SP - 1
EP - 2
BT - 2017 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2017
Y2 - 31 July 2017 through 4 August 2017
ER -