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Volume: 31 | Article ID: art00011
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Automatic Detection of Scanned Page Orientation
  DOI :  10.2352/ISSN.2470-1173.2019.14.COLOR-087  Published OnlineJanuary 2019
Abstract

With the increasing demand to scan text documents and old books, having a scanner that could automatically detect the orientations of the scanned pages would be greatly beneficial. This paper proposes a fast method to detect orientations based on a support vector machine (SVM), using features developed for each connected component on the scanned page. Results show that the algorithm can achieve an accuracy of 99.2% in orientation detection and 98.2% in script detection for pages scanned at 200 dpi.

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Zhenhua Hu, Peter Bauer, Todd Harris, Jan Allebach, "Automatic Detection of Scanned Page Orientationin Proc. IS&T Int’l. Symp. on Electronic Imaging: Color Imaging XXIV: Displaying, Processing, Hardcopy, and Applications,  2019,  pp 87-1 - 87-7,  https://doi.org/10.2352/ISSN.2470-1173.2019.14.COLOR-087

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