Skew Estimation by Instances
| Language | English |
|---|---|
| Type | Proceedings of International Conferences |
| Authors | Seiichi Uchida, Megumi Sakai, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise |
| Title | Skew Estimation by Instances |
| Journal | Proceedings of the 8th IAPR International Workshop on Document Analysis Systems (DAS2008) |
| Pages | pp.201-208 |
| Location | Nara, Japan |
| Reviewed | Reviewed |
| Date | September 2008 |
| Research fields | Document Image Analysis |
| DOI | 10.1109/DAS.2008.22 |
| Key | Uchida2008_DAS (id=1042) |
Abstract
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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