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Proceedings Paper

Non-contact finger vein acquisition system using NIR laser
Author(s): Jiman Kim; Hyoun-Joong Kong; Sangyun Park; SeungWoo Noh; Seung-Rae Lee; Taejeong Kim; Hee Chan Kim
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Paper Abstract

Authentication using finger vein pattern has substantial advantage than other biometrics. Because human vein patterns are hidden inside the skin and tissue, it is hard to forge vein structure. But conventional system using NIR LED array has two drawbacks. First, direct contact with LED array raise sanitary problem. Second, because of discreteness of LEDs, non-uniform illumination exists. We propose non-contact finger vein acquisition system using NIR laser and Laser line generator lens. Laser line generator lens makes evenly distributed line laser from focused laser light. Line laser is aimed on the finger longitudinally. NIR camera was used for image acquisition. 200 index finger vein images from 20 candidates are collected. Same finger vein pattern extraction algorithm was used to evaluate two sets of images. Acquired images from proposed non-contact system do not show any non-uniform illumination in contrary with conventional system. Also results of matching are comparable to conventional system. We developed Non-contact finger vein acquisition system. It can prevent potential cross contamination of skin diseases. Also the system can produce uniformly illuminated images unlike conventional system. With the benefit of non-contact, proposed system shows almost equivalent performance compared with conventional system.

Paper Details

Date Published: 27 January 2009
PDF: 8 pages
Proc. SPIE 7249, Sensors, Cameras, and Systems for Industrial/Scientific Applications X, 72490Y (27 January 2009); doi: 10.1117/12.810563
Show Author Affiliations
Jiman Kim, Seoul National Univ. (Korea, Republic of)
Hyoun-Joong Kong, Seoul National Univ. (Korea, Republic of)
Sangyun Park, Seoul National Univ. (Korea, Republic of)
SeungWoo Noh, Seoul National Univ. (Korea, Republic of)
Seung-Rae Lee, Seoul National Univ. (Korea, Republic of)
Taejeong Kim, Seoul National Univ. (Korea, Republic of)
Hee Chan Kim, Seoul National Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 7249:
Sensors, Cameras, and Systems for Industrial/Scientific Applications X
Erik Bodegom; Valérie Nguyen, Editor(s)

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