Parallel image transformation and its VLSI implementation
Pattern Recognition
A fast algorithm for general raster rotation
Graphics gems
A fast approach to the detection and correction of skew documents
Pattern Recognition Letters
A fast black run rotation algorithm for binary images
Pattern Recognition Letters
Skew detection and correction in document images based on straight-line fitting
Pattern Recognition Letters
A new rotation algorithm for monochromatic images
Proceedings of the 2005 ACM symposium on Document engineering
Hierarchical block matching method for fast rotation of binary images
IEEE Transactions on Image Processing
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
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DDA (Digital Differential Analyzer) is a famous algorithm used commonly in computer graphics to interpolate integer coordinate pixels of a straight line. In this paper, we introduce a method of image rotation for binary document images using DDA algorithm with assumption that the true skew angles of the documents have already been computed. The proposed method applies the main idea of DDA algorithm with some modifications for the skew scanning lines along to the inverse direction of the skew angle. In this method the ratios between the length of black runs and the whole scan line are guaranteed. Thus the algorithm can overcome disadvantages of mathematical rotation such as white holes and over segmentation. Moreover, using DDA algorithm to approximate integer points helps this method reduce the number of rotation operations.