抄録
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].
本文言語 | 英語 |
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ページ | 68-75 |
ページ数 | 8 |
出版ステータス | 出版済み - 12月 1 2005 |
イベント | 1st International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2005 - Seoul, 韓国 継続期間: 8月 29 2005 → 8月 29 2005 |
その他
その他 | 1st International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2005 |
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国/地域 | 韓国 |
City | Seoul |
Period | 8/29/05 → 8/29/05 |
!!!All Science Journal Classification (ASJC) codes
- コンピュータ ビジョンおよびパターン認識
- ソフトウェア