TY - JOUR
AU - Noh, SeungWoo
AB - 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.
TI - Registration of finger vein image using skin surface information for authentication
JF - Proceedings of SPIE
DO - 10.1117/12.810565
DA - 2009-02-05
UR - https://www.deepdyve.com/lp/spie/registration-of-finger-vein-image-using-skin-surface-information-for-l7Q9PdBrcR
SP - 725113
EP - 725113-9
VL - 7251
IS - 1
DP - DeepDyve
ER -