Japanese / English


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
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.