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Proceedings Paper

Registration of finger vein image using skin surface information for authentication
Author(s): SeungWoo Noh; Hyoun-Joong Kong; SangYun Park; JiMan Kim; Seung-Rae Lee; Taejeong Kim; Hee Chan Kim
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Paper Abstract

The finger vein image acquired with an acquisition system should be properly aligned to proceed with comparing algorithm. However it is not easy to find control the points since the images are naturally blurred with an inherent scattering property. To overcome this problem, we propose a novel finger vein registration method utilizing skin surface information (i.e. wrinkles and outlines). We assumed that finger crooking was insignificant. Images were sampled with intended translation and rotation. Each time, two images were acquired successively by switching the light source; one with infrared light and the other with white light. Degree of rotation and translation of sampled image were calculated using outline features in the white light image and then the infrared image was transformed according to the calculated data. To validate our method, correlation values were computed between identical subjects and different subjects. High correlation values were shown between identical subjects whereas low values were shown between different subjects.

Paper Details

Date Published: 2 February 2009
PDF: 9 pages
Proc. SPIE 7251, Image Processing: Machine Vision Applications II, 725113 (2 February 2009); doi: 10.1117/12.810565
Show Author Affiliations
SeungWoo Noh, Seoul National Univ. (Korea, Republic of)
Hyoun-Joong Kong, Seoul National Univ. (Korea, Republic of)
SangYun Park, Seoul National Univ. (Korea, Republic of)
JiMan Kim, 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. 7251:
Image Processing: Machine Vision Applications II
Kurt S. Niel; David Fofi, Editor(s)

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