Abstract
The present method of getting information of road signs has problems about working hours and expense because it is manual labor. We are developing a system about automatically recognizing of road signs which consist of characters, e.g. signs of intersection's name using on-vehicle camera. In order to increase a recognition rate, we adopted Learning Based Super-Resolution (LBSR). LBSR's resolution enhancement depends on a similarity degree of filmed road sign image and low-frequency components of learning image. In this paper, we propose a reasonable method of generating low-frequency components of learning image for road sign images. The experimental result shows that the proposed method slightly improved the recognition rate.
