A part-based skew estimation method

Soma Shiraishi, Yaokai Feng, Seiichi Uchida

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

4 Citations (Scopus)

Abstract

In this paper we propose a part-based skew estimation method which is more robust to larger varieties of text images, such as camera-captured scene images. Specifically, the skew angle at each local part of the input image is estimated independently by referring the local part of upright character images stored as a database. Then the global skew angle is estimated by aggregating the estimated local skews. The proposed method does not assume that characters are laid-out in straight lines and thus have more robustness to the varieties of text images than conventional methods. The experimental results show the advantage of the proposed method over the conventional methods under several conditions.

Original languageEnglish
Title of host publicationProceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012
Pages185-189
Number of pages5
DOIs
Publication statusPublished - May 24 2012
Event10th IAPR International Workshop on Document Analysis Systems, DAS 2012 - Gold Coast, QLD, Australia
Duration: Mar 27 2012Mar 29 2012

Publication series

NameProceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012

Other

Other10th IAPR International Workshop on Document Analysis Systems, DAS 2012
CountryAustralia
CityGold Coast, QLD
Period3/27/123/29/12

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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