Implementation of Hand Vein Structure Authentication Based System

Biometric authentication provides a high security and reliable approach to be used in security access system. However, this authentication method has not been widely implemented in a resource-constrained embedded system. In this project, we investigate a method of personal authentication based on infrared vein pattern in the back of the hand. A biometric feature is extracted from the vein pattern image and create database. The current image matched with the database and identify that personal is authenticate or not. In this project the algorithm consists of four modules: image capturing, image pre-processing, feature extraction, and the authentication module. Attach the IR web camera to the door, automatically when any person open the door camera will capture the back hand vein of images, using hough threshold method draw the circle on the vein and attaching all the center of the circle and get thinning images, which is use to reduce the error segmentation problem. Then Minutiae feature extraction include different point. Housdroff Distance is technique measuring of two images. If that image is match then only the door is open otherwise it not. This system directly recognizes the shapes of the vein pattern by ensuring their Line-Segment Hausdorff Distance.