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Imaging of the Finger Vein and Blood Flow for Anti-Spoofing Authentication Using a Laser and a MEMS Scanner

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Author(s)
Lee, JaekwonMoon, SeunghwanLim, JuhunGwak, Min-JooKim, Jae GwanChung, EuiheonLee, Jong-Hyun
Type
Article
Citation
Sensors, v.17, no.4
Issued Date
2017-04
Abstract
A new authentication method employing a laser and a scanner is proposed to improve image contrast of the finger vein and to extract blood flow pattern for liveness detection. A micromirror reflects a laser beam and performs a uniform raster scan. Transmissive vein images were obtained, and compared with those of an LED. Blood flow patterns were also obtained based on speckle images in perfusion and occlusion. Curvature ratios of the finger vein and blood flow intensities were found to be nearly constant, regardless of the vein size, which validated the high repeatability of this scheme for identity authentication with anti-spoofing.
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
ISSN
1424-8220
DOI
10.3390/s17040925
URI
https://scholar.gist.ac.kr/handle/local/13797
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