Japanese / English


論文の言語 英語
著者 Masakazu IWAMURA, Seiichi UCHIDA, Shinichiro OMACHI, and Koichi KISE
論文名 Recognition with Supplementary Information —How Many Bits Are Lacking for 100% Recognition?—
論文誌名 Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005)
ページ pp.68-75
年月 2005年8月
要約 In this paper, we propose a new model in which the classifier receives not only a pattern itself but also supplementary information that assists recognition. This model enables us to achieve a 100% recognition rate with a 0% rejection rate with certain bits of supplementary information required. For printed characters, experiments show that 4 bits of supplementary information were required in the leave-one-out method and 1 bit was in the resubstitution method. In addition, we generalize the discussion into the relationship among a quantity of supplementary information, a recognition rate and a rejection rate. The theory presented in this paper is applied to the data embedding of a font set for camera-based character recognition [9].