Document Skew Detection Using Minimum-Area Bounding Rectangle
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
A nearest-neighbor chain based approach to skew estimation in document images
Pattern Recognition Letters
Improved Nearest Neighbor Based Approach to Accurate Document Skew Estimation
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Skew detection using wavelet decomposition and projection profile analysis
Pattern Recognition Letters
An improvement over template matching using K-means algorithm for printed cursive script recognition
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
An improvement over template matching using k-means algorithm for printed cursive script recognition
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
A new technique for global and local skew correction in binary documents
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Entropy based skew correction of document images
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Algorithm of document skew detection based on character vertices
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
An adaptive technique for global and local skew correction in color documents
Expert Systems with Applications: An International Journal
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
Document image analysis: issues, comparison of methods and remaining problems
Artificial Intelligence Review
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We describe a robust yet fast algorithm for skew detection in binary document images. The method is based on interline cross-correlation in the scanned image. Instead of finding the correlation for the entire image, it is calculated over small regions selected randomly. The proposed method does not require prior segmentation of the document into text and graphics regions. The maximum median of cross-correlation is used as the criterion to obtain the skew, and a Monte Carlo sampling technique is chosen to determine the number of regions over which the correlations have to be calculated. Experimental results on detecting skews in various types of documents containing different linguistic scripts are presented here