A new approach for instance-based skew estimation

Soma Shiraishi, Yaokai Feng, Seiichi Uchida

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

This paper proposes a new approach to a method to estimate a skew angle of a rotated document image. This is realized by using Speeded-Up Robust Features (SURF), and the goal is that it enables the image to be rotated back to the correct orientation. SURF detects a number of keypoints both from the reference image on which a set of standard alphabets (e.g. letter eaf through ezf in a certain font) are written, and the image of the rotated document. Two nearest features each from the reference image and the input image are compared to decide to how many degrees the feature in the input image is rotated. Finally the skew angle of the whole input image( the global skew angle) is decided by the majority of the total votes of angles that have been calculated as mentioned above.

本文言語英語
ホスト出版物のタイトルKnowledge-Based and Intelligent Information and Engineering Systems - 15th International Conference, KES 2011, Proceedings
ページ195-203
ページ数9
PART 4
DOI
出版ステータス出版済み - 9 29 2011
イベント15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011 - Kaiserslautern, ドイツ
継続期間: 9 12 20119 14 2011

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 4
6884 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011
国/地域ドイツ
CityKaiserslautern
Period9/12/119/14/11

All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

フィンガープリント

「A new approach for instance-based skew estimation」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル