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

Autor: Lee J; School of Mechanical Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea. jkwon19@gist.ac.kr., Moon S; School of Mechanical Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea. msh@gist.ac.kr., Lim J; Department of Biomedical Science & Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea. johnlim@gist.ac.kr., Gwak MJ; Fiber Optic Electronic R&D Center, Korea Optron Corporation (KOC), Gwangju 61007, Korea. gmj87@naver.com., Kim JG; Department of Biomedical Science & Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea. jaekim@gist.ac.kr., Chung E; Department of Biomedical Science & Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea. ogong50@gist.ac.kr., Lee JH; School of Mechanical Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea. jonghyun@gist.ac.kr.; Department of Biomedical Science & Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea. jonghyun@gist.ac.kr.
Jazyk: angličtina
Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2017 Apr 22; Vol. 17 (4). Date of Electronic Publication: 2017 Apr 22.
DOI: 10.3390/s17040925
Abstrakt: 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.
Databáze: MEDLINE
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