Recognition with Supplementary Information —How Many Bits Are Lacking for 100% Recognition?—
| 言語 | 英語 |
|---|---|
| 種類 | 国際会議等の予稿 |
| 著者 | Masakazu IWAMURA，Seiichi UCHIDA，Shinichiro OMACHI，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 |
| 発表場所 | Seoul, South Korea |
| 査読の有無 | 有 |
| 年月 | 2005年8月 |
| 分野 | パターン認識 |
| キー | Iwamura2005_CBDAR (id=367) |
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].
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