A Combined Method for Finger Vein Authentication System

Finger vein as a new biometric is developing in security purposes. Since the vein patterns are unique between each individual and located inside the body, forgery is extremely difficult. Therefore, the finger vein authentication systems have received extensive attention in public security and information security domains. According to the importance of these systems, the different techniques have been proposed to each stages of the system. The stages include image acquisition, preprocessing, segmentation and feature extraction, matching and recognition. While the segmentation techniques often appear feasible in theory, deciding about the accuracy in a system seems important. Therefore, this paper release the conceptual explanation of finger vein authentication system by combining two different techniques in segmentation stage to evaluate the quality of the system. Also, it applies Neural Network for authentication stage. The result of this evaluation is 95% in training and 93% in testing. [PUBLICATION ABSTRACT]