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.
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.