In this paper, we propose a new effective method for low-resolution character recognition from motion images. This method extracts the feature directly from low-resolution images first, and reconstructs the high-resolution feature. Since low-resolution characters of motion images are recognized, a general idea is to reconstruct a high-resolution image first by using these low-resolution images, and it is extracted the feature from that high-resolution image. Feature extraction process of our proposed method has different view of the general idea. Our proposed method has higher accuracy than the general idea in low-resolution characters recognition. We show advantages of it by comparative recognition experiments under the database images and motion images.
Citation:
Makoto Nomura, Kazuhiko Yamamoto, Hirotaka Ohta, Kunihito Kato, "A Proposal of the Effective Recognition Method for Low-Resolution Characters from Motion Images," icdar, pp.720-724, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005