Skew Estimation by Instances

言語英語
種類国際会議等の予稿
著者Seiichi Uchida,Megumi Sakai,Masakazu Iwamura,Shinichiro Omachi,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
分野文書画像解析
DOI10.1109/DAS.2008.22
キーUchida2008_DAS (id=1042)

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.

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