Japanese / English


論文の言語 英語
著者 Kazuya NEGISHI, Masakazu IWAMURA, Shinichiro OMACHI, Hirotomo ASO
論文名 Isolated Character Recognition by Searching Features in Scene Images
論文誌名 Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005)
ページ pp.140-147
年月 2005年8月
要約 Conventional segmentation technique cannot extract an isolated character and a touching character. In this paper, to utilize information of such characters, we propose a novel character recognition method based on extracting feature points and voting. The voting algorithm of the proposed method is similar to the generalized Hough transform. This method enables us to extract and recognize such troublesome characters in relatively shorter computational time. The effectiveness of the proposed method is confirmed by experiments.