Automated entry system for printed documents
Pattern Recognition
Skew correction of document images using interline cross-correlation
CVGIP: Graphical Models and Image Processing
The skew angle of printed documents
Document image analysis
The Document Spectrum for Page Layout Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new algorithm for skew detection and correction
Pattern Recognition Letters
Skew Detection in Binary Image Documents Based on Image Dilation and Region labeling Approach
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Robust detection of skew in document images
IEEE Transactions on Image Processing
Document image analysis: issues, comparison of methods and remaining problems
Artificial Intelligence Review
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A new technique for global and local skew correction in binary documents is proposed. The proposed technique performs a connected component analysis and for each connected component, document's local skew angle is estimated, based on detecting a sequence of other consecutive connected components, at certain directions, within a specified neighborhood. A histogram of all local skew angles is constructed. If the histogram has one peak then global skew correction is performed, otherwise the document has more than one skews. For local skew correction, a page layout analysis is performed based on a boundary growth algorithm at different directions. The exact global or local skew is approached with a least squares line fitting procedure. The accuracy of the technique has been tested using many documents of different skew and it is compared with two other similar techniques.