文献の詳細

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
発表場所	Seoul, South Korea
査読の有無	有
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.

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• BibTeX用エントリー

  @InProceedings{NEGISHI2005,
    author =	{Kazuya NEGISHI and Masakazu IWAMURA and Shinichiro OMACHI and Hirotomo ASO},
    title =	{Isolated Character Recognition by Searching Features in Scene Images},
    booktitle =	{Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005)},
    year =	2005,
    month =	aug,
    pages =	{140--147},
    location =	{Seoul, South Korea}
  }
  
  
  

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