Automated entry system for printed documents
Pattern Recognition
Skew correction of document images using interline cross-correlation
CVGIP: Graphical Models and Image Processing
Machine vision
The Document Spectrum for Page Layout Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
IBM Journal of Research and Development
Adaptive document block segmentation and classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust detection of skew in document images
IEEE Transactions on Image Processing
Pattern Recognition Letters
Analysis of document snippets as a basis for reconstruction
VAST'09 Proceedings of the 10th International conference on Virtual Reality, Archaeology and Cultural Heritage
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Detection of document skew is an important step in document image analysis. This paper presents a new method for calculation of document skew. This method forms large connected components by a smoothing algorithm and calculates the document skew by finding the orientation of the minimum-area bounding rectangle of one or several connected components. Connection of text to non-text in the smoothing step does not degrade the performance of the method. The smoothing parameters are determined automatically and no manual adjustment is necessary. The method is not limited in the range of detectable skew angles and the achievable accuracy. Experimental results show the high performance of the algorithm in detecting document skew for a variety of documents with different levels of complexity.