An Edge Detection Algorithm for Nonuniformly Illuminated Images in Finger-vein Authentication

Recently, finger-vein authentication has been a rising bio-detection technique for its outstanding security, biologic maintenance, accuracy and speed. To deal with the rotation in finger-vein image, the edge of finger in the image is detected and the inclination angle is calculated. However, considering the device universally used in finger-vein authentication, in order to detect finger-veins more clearly and get more features, illumination is not evenly distributed, so the conventional edge detection methods are affected by different illuminative backgrounds of the finger. Therefore, a new simple but effective edge detection algorithm specially designed for finger-vein authentication is proposed and evaluated in this paper. Experiments based on 5,000 finger-vein images show that the proposed algorithm provides higher accuracy than conventional methods.