Instance-Based Skew Detection of Document Images by a Combination of Variant and Invariant

Language	Japanese
Type	Proceedings of Japanese Conferences
Authors	Megumi Sakai, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, 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	Not reviewed
Date	July 2007
Research fields	Document Image Analysis, Pattern recognition
Key	`Sakai2007_MIRU` (id=980)

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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{authors}{authors_and}{authors_ja}{authors_ja_tight}{authors_en}{authors_en_and}{authors_tight}{first_author}{title}{title_ja}{title_en}{journal}{journal_ja}{journal_en}{book_title}{volume}{number}{series}{presen_id}{pages}{pp}{num_pages}{year}{month}{month_en}{month_short}{ym}{date}{date_ja}{date_en}{publisher}{address}{location}{review}{review_ja}{review_en}{reviewed_mark}{presen_type}{type}{type_label}{doi}{url}{key}{awards}

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@inproceedings{Sakai2007_MIRU, author = {Sakai, Megumi and Uchida, Seiichi and Iwamura, Masakazu and Omachi, Shinichiro and Kise, Koichi}, title = {Instance-Based Skew Detection of Document Images by a Combination of Variant and Invariant}, booktitle = {Proceedings of MIRU 2007}, year = 2007, month = jul, pages = {1147--1152}, note = {IS-4-01} }

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