Real-Time Finger-Vein Recognition System

As the need for personal authentication increases, many people are turning to biometric authentication as an alternative to traditional security devices. Concurrently, users and vendors of biometric authentication systems are searching for methods to establish system performance. However, most existing biometric systems have high complexity in time or space or both. In this paper, we propose a novel Finger-Vein recognition algorithm for authentication. It consists of two phases. Enrolment phase and verification phase. Both stages start with finger-vein image pre-processing, which includes detection of the region of interest (ROI), image segmentation, alignment, and enhancement. For the enrolment stage, after the pre-processing and the feature extraction step, the finger-vein template database is built. For the verification stage, the input finger-vein image is matched with the corresponding template after its features are extracted. Feature Selection process is based on SURF algorithm.