This paper proposes a multi-finger knuckle recognition system for a door handle. The proposed system consists of simple hardware such as a camera and a near-infrared light source. This paper has also proposed a baseline recognition algorithm for multi-finger knuckles. The proposed algorithm consists of the region of interest (ROI) extraction and ROI matching. From the captured image, the ROI around phalangeal joint is extracted using vertical and horizontal projections. There is a large deformation between extracted ROIs due to the position of hand. To address a large deformation, the proposed algorithm employs the phase-based correspondence matching to evaluate the similarity between ROIs. Through a set of experiments, we demonstrate that the proposed baseline algorithm exhibits good performance compared with the conventional finger knuckle recognition algorithms.