Effective Feature Extraction for Character Recognition from Low Resolution Images

Abstract

When character recognition is made from low-resolution characters of motion image, it is the general idea to restructure high-resolution image first by using sequence of the low-resolution images and then extract features from the constructed high-resolution image. In this paper, we propose a new method in which the direct extraction of features from the low-resolution images is made first, and then reconstructing high accuracy feature from sequence of the feature. We show the advantage of our proposed method over ordinary method on theoretical and recognition experiment.