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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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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.
Author(s)
Lee, JaekwonMoon, SeunghwanLim, JuhunGwak, Min-JooKim, Jae GwanChung, EuiheonLee, Jong-Hyun
Issued Date
2017-04
Type
Article
DOI
10.3390/s17040925
URI
https://scholar.gist.ac.kr/handle/local/13797
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Citation
Sensors, v.17, no.4
ISSN
1424-8220
Appears in Collections:
Department of Biomedical Science and Engineering > 1. Journal Articles
Department of Mechanical and Robotics Engineering > 1. Journal Articles
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