Presentation 2007-03-15
Skew Detection of Document Images by a Combination of Variant and Invariant
Megumi SAKAI, Seiichi UCHIDA, Masakazu IWAMURA, Shinichiro OMACHI, Koichi KISE,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) 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 44 document images has shown that the skew angles of 42 document images were successfully estimated with errors smaller than 2.0 degrees.
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Keyword(in English) geometric transformation / variant / invariant / instance / voting / skew detection
Paper # PRMU2006-251
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Conference Information
Committee PRMU
Conference Date 2007/3/8(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Skew Detection of Document Images by a Combination of Variant and Invariant
Sub Title (in English)
Keyword(1) geometric transformation
Keyword(2) variant
Keyword(3) invariant
Keyword(4) instance
Keyword(5) voting
Keyword(6) skew detection
1st Author's Name Megumi SAKAI
1st Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University()
2nd Author's Name Seiichi UCHIDA
2nd Author's Affiliation Faculty of Information Science and Electrical Engineering, Kyushu University
3rd Author's Name Masakazu IWAMURA
3rd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
4th Author's Name Shinichiro OMACHI
4th Author's Affiliation Graduate School of Engineering, Tohoku University
5th Author's Name Koichi KISE
5th Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
Date 2007-03-15
Paper # PRMU2006-251
Volume (vol) vol.106
Number (no) 605
Page pp.pp.-
#Pages 6
Date of Issue