Low-Resolution Character Recognition by Video-Based Super-Resolution

In this paper, we propose a method for recognizing low-resolution characters using a super-resolution technique. Although portable digital cameras can be used for camera based character recognition, the captured images contain several types of noises which make the recognition task difficult. We introduce a phase of super-resolution before the recognition to enhance the resolution of images obtained from a video. The proposed method uses the subspace method for the recognition of characters which are integrated from multiple low-resolution characters by the super-resolution technique. Experimental results show that the proposed method improves the recognition accuracy; we confirmed that the recognition rate for the input size of 7 times 7 pixels was 90.35%, and for the input size of 9 times 9 pixels was 99.97%.