文献の詳細

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
発表場所	Seoul, South Korea
査読の有無	有
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].

• 次のファイルが利用可能です．
1. paper.pdf (586.8KB)
• BibTeX用エントリー

  @InProceedings{IWAMURA2005,
    author =	{Masakazu IWAMURA and Seiichi UCHIDA and Shinichiro OMACHI and Koichi KISE},
    title =	{Recognition with Supplementary Information \—How Many Bits Are Lacking for 100\% Recognition?\—},
    booktitle =	{Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005)},
    year =	2005,
    month =	aug,
    pages =	{68--75},
    location =	{Seoul, South Korea}
  }
  
  
  

一覧に戻る