Japanese / English


論文の言語 英語
著者 Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, and Koichi Kise
論文名 Data Embedding for Camera-Based Character Recognition
論文誌名 Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005)
ページ pp.60-67
年月 2005年8月
要約 In this paper, the embedment of class information into each character image is investigated for camera-based character recognition as easy and accurate as bar-code reading. Each character image is printed with a horizontal stripe pattern, called a cross ratio pattern, and the class information is represented as a cross ratio derived from the pattern. Since the cross ratio is invariant to projective distortion, the class information is extracted correctly regardless of camera angle. Experimental results showed that the cross ratios are extracted from distorted character images with very high accuracy and thus very effective to attain high character recognition rates.