A fast orientation and skew detection algorithm for monochromatic document images
Proceedings of the 2005 ACM symposium on Document engineering
Convex hull based skew estimation
Pattern Recognition
Adapting the Tesseract open source OCR engine for multilingual OCR
Proceedings of the International Workshop on Multilingual OCR
Algorithm of document skew detection based on character vertices
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Fast and robust skew estimation of scanned documents through background area information
Pattern Recognition Letters
Document skew estimation: an approach based on wavelets
Proceedings of the 2011 International Conference on Communication, Computing & Security
Statistical mixture model for documents skew angle estimation
Pattern Recognition Letters
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An important part of any document recognition system is detection of skew in the image of a page. This paper presents a new, accurate and robust skew detection algorithm based on a method for finding rows of text in page images. Results of a comparison of the new algorithm against Baird's well-known algorithm on 400 pages show the new algorithm to be more accurate, robust and somewhat faster. In particular, the new algorithm only breaks down at skew angles in excess of 15 degrees, compared to the almost uniform distribution of breakdowns of Baird's algorithm.