Kocakulak, MustafaAcir, Nurettin2026-02-122026-02-1220189781538615010https://doi.org/10.1109/SIU.2018.8404535https://hdl.handle.net/20.500.12885/654426th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2018-05-02 through 2018-05-05 -- Izmir -- 137780In this study, rather than locating a fixed region of interest directly on finger vein images, spatial filtering is applied and a texture-based edge detection method is used to give stable results. Koschmieder's Law, which eliminates the scattering effect of light on these images, is applied to the designated region of interest through white balancing process. After this step, Gabor filter bank was created in different scales and orientations. These bank elements were convolved with various images and Gabor filter application was completed. In this study, by applying Gabor filter to the images enhanced by Koschmieder's Law, it is verified that the biometric information extraction of a person is facilitated. © 2018 IEEE.trFinger vein recognitionGabor filterKoschmieder's LawLight scatteringRegion of interest (ROI)Conference Object10.1109/SIU.2018.8404535142-s2.0-85050792158N/A