Paper
24 July 2018 External and internal fingerprint extraction based on optical coherence tomography
Haixia Wang, Lingtao Ma, Peng Chen
Author Affiliations +
Proceedings Volume 10827, Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018); 108271E (2018) https://doi.org/10.1117/12.2500446
Event: Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018), 2018, Shanghai, China
Abstract
In traditional fingerprint biometrics, fingertips stained with water, dust or fake fingerprints can lead to security issues such as false rejection and acceptance. It has been found in biology that the fingerprint pattern also exists in the papillary layer inside the fingertips, which is the source of the external epidermal fingerprint. Optical coherence tomography (OCT) is a noninvasive imaging technique that captures micrometer-resolution, three-dimensional images from within biological tissues. In this paper, a spectral domain OCT system is established to measure subcutaneous information from fingertips with large area and high resolution. A hybrid hierarchical clustering is proposed to identify the contours of the corneum stratum and papillary junction, with which the internal and external fingerprints can be extracted, respectively. The experimental results show that the external and internal fingerprints obtained by OCT have same pattern and almost same minutiae distribution. Thus the internal fingerprint can be a good replacement or complement of the external fingerprint, and the detection of internal fingerprint can defense against fake fingerprints.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haixia Wang, Lingtao Ma, and Peng Chen "External and internal fingerprint extraction based on optical coherence tomography", Proc. SPIE 10827, Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018), 108271E (24 July 2018); https://doi.org/10.1117/12.2500446
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Cited by 5 scholarly publications and 1 patent.
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KEYWORDS
Optical coherence tomography

Feature extraction

3D image processing

Biometrics

Defense and security

Denoising

Skin

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