文献の詳細

論文の言語	英語
著者	Seiichi Uchida, Megumi Sakai, Masakazu Iwamura, Shinichiro Omachi, and Koichi Kise
論文名	Skew Estimation by Instances
論文誌名	Proceedings of the 8th IAPR International Workshop on Document Analysis Systems (DAS2008)
ページ	pp.201-208
発表場所	Nara, Japan
査読の有無	有
年月	2008年9月
要約	This paper proposes a novel skew estimation method by instances. The instances to be learned (i.e., stored) are rotation invariants and a rotation variant for each character category. Using the instances, it is possible to estimate a skew angle of each individual character on a document. This fact implies that the proposed method can estimate the skew angle of a document where characters do not form long straight text lines. Thus, the proposed method will be applicable to various documents such as signboard images captured by a camera. Experimental evaluation using synthetic and real images revealed the expected robustness against various character layouts.
DOI	10.1109/DAS.2008.22

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• BibTeX用エントリー

  @InProceedings{Uchida2008,
    author =	{Seiichi Uchida and Megumi Sakai and Masakazu Iwamura and Shinichiro Omachi and Koichi Kise},
    title =	{Skew Estimation by Instances},
    booktitle =	{Proceedings of the 8th IAPR International Workshop on Document Analysis Systems (DAS2008)},
    year =	2008,
    month =	sep,
    pages =	{201--208},
    DOI =		{10.1109/DAS.2008.22},
    location =	{Nara, Japan}
  }
  
  
  

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