Document skew detection based on hough space derivatives

Felix Stahlberg, Stephan Vogel

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

1 Citation (Scopus)

Abstract

One of the basic challenges in page layout analysis of scanned document images is the estimation of the document skew. Precise skew correction is particularly important when the document is to be passed to an optical character recognition system. In this paper, we propose a very generic and robust method which can cope with a wide variety of document types and writing systems. It uses derivatives in the Hough space to identify directions with sudden changes in their projection profiles. We show that this criterion is useful to identify the horizontal and vertical direction with respect to the document. We test our method on the DISEC'13 data set for document skew detection. Our results are comparable to the best systems in the literature.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Document Analysis and Recognition, ICDAR
PublisherIEEE Computer Society
Pages366-370
Number of pages5
Volume2015-November
ISBN (Print)9781479918058
DOIs
Publication statusPublished - 20 Nov 2015
Event13th International Conference on Document Analysis and Recognition, ICDAR 2015 - Nancy, France
Duration: 23 Aug 201526 Aug 2015

Other

Other13th International Conference on Document Analysis and Recognition, ICDAR 2015
CountryFrance
CityNancy
Period23/8/1526/8/15

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Stahlberg, F., & Vogel, S. (2015). Document skew detection based on hough space derivatives. In Proceedings of the International Conference on Document Analysis and Recognition, ICDAR (Vol. 2015-November, pp. 366-370). [7333785] IEEE Computer Society. https://doi.org/10.1109/ICDAR.2015.7333785