A new approach for instance-based skew estimation

Soma Shiraishi, Yaokai Feng, Seiichi Uchida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationKnowledge-Based and Intelligent Information and Engineering Systems - 15th International Conference, KES 2011, Proceedings
Pages195-203
Number of pages9
EditionPART 4
DOIs
Publication statusPublished - Sep 29 2011
Event15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011 - Kaiserslautern, Germany
Duration: Sep 12 2011Sep 14 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume6884 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011
CountryGermany
CityKaiserslautern
Period9/12/119/14/11

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Shiraishi, S., Feng, Y., & Uchida, S. (2011). A new approach for instance-based skew estimation. In Knowledge-Based and Intelligent Information and Engineering Systems - 15th International Conference, KES 2011, Proceedings (PART 4 ed., pp. 195-203). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6884 LNAI, No. PART 4). https://doi.org/10.1007/978-3-642-23866-6_21