Japanese / English

Detail of Publication

Text Language Japanese
Authors Megumi Sakai, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, and Koichi Kise
Title Instance-Based Skew Detection of Document Images by a Combination of Variant and Invariant
Journal Proceedings of MIRU 2007
Presentation number IS-4-01
Pages pp.1147-1152
Reviewed or not Not reviewed
Month & Year July 2007
Abstract A novel deformation estimation technique is proposed and applied to document skew estimation. The proposed method has two properties. First, it utilizes an invariant and a variant of a target deformation to be estimated. Second, it is an instance-based method where the deformation is estimated by referring stored instances which describe the relation among the deformation, the variant, and the invariant. The result of a skew estimation experiment on 55 document images has shown that the skew angles of 54 document images were successfully estimated with errors smaller than 2.0 degrees.
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