Character Recognition at Low Resolution with Video Camera

Abstract

Character recognition from video camera images is necessary, because digital video cameras have gained in popularity. In this paper, we propose a new method of extracting four directional features. The characteristic of our method is to use dynamic scenes. This is achieved by using images shifted by half a pixel in the low resolution. We experimented with character recognition using the common database ETL2. We calculated the center of gravity of the camera image in order to apply our method in practice. We also experimented with character recognition using images taken by a video camera. The recognition results show that our method is effective at low resolution.