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Proceedings Paper

Using mathematical morphology for document skew estimation
Author(s): Laurent A. Najman
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Paper Abstract

We propose a concise definition of the skew angle of document, based on mathematical morphology. This definition has the advantages to be applicable both for binary and grey-scale images. We then discuss various possible implementations of this definition, and show that results we obtain are comparable to those of other existing algorithms.

Paper Details

Date Published: 15 December 2003
PDF: 10 pages
Proc. SPIE 5296, Document Recognition and Retrieval XI, (15 December 2003); doi: 10.1117/12.526615
Show Author Affiliations
Laurent A. Najman, Groupe ESIEE (France)


Published in SPIE Proceedings Vol. 5296:
Document Recognition and Retrieval XI
Elisa H. Barney Smith; Jianying Hu; James Allan, Editor(s)

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