A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated entry system for printed documents
Pattern Recognition
Ten lectures on wavelets
Skew correction of document images using interline cross-correlation
CVGIP: Graphical Models and Image Processing
A Robust Skew Detection Algorithm for Grayscale Document Image
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Skew Detection of Document Images by Focused Nearest-Neighbor Clustering
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
A nearest-neighbor chain based approach to skew estimation in document images
Pattern Recognition Letters
Robust detection of skew in document images
IEEE Transactions on Image Processing
Extraction of Filled-In Items from Chinese Bank Check Using Support Vector Machines
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
e-PCP: A robust skew detection method for scanned document images
Pattern Recognition
Fast and robust skew estimation of scanned documents through background area information
Pattern Recognition Letters
Text detection in images using sparse representation with discriminative dictionaries
Image and Vision Computing
Skew estimation of document images using bagging
IEEE Transactions on Image Processing
Document skew estimation: an approach based on wavelets
Proceedings of the 2011 International Conference on Communication, Computing & Security
A novel fabric skew detection method based on DFT and multi-projection analysis
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
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In this paper, a novel document skew detection algorithm based on wavelet decompositions and projection profile analysis is proposed. First, the skewed document images are decomposed by the wavelet transform. The matrix containing the absolute values of the horizontal sub-band coefficients, which preserves the text's horizontal structure, is then rotated through a range of angles. A projection profile is computed at each angle, and the angle that maximizes a criterion function is regarded as the skew angle. Experimental results show that this algorithm performs well on document images of various layouts and is also robust to different languages. The effects of various wavelet basis, number of decomposition levels, and parameters of the criterion function are investigated too.