Literature Survey On Dewarping Of Document Images
Dewarping of camera document images has become lot of interest in the past. It is due to its inefficiency in the document readability and also it affects the accuracy of an OCR application, a two-step approach for efficient dewarping of camera document images is used. In the first step, coarse dewarping is used with the help of a transformation modelling which it maps the projection of a curved surface to a 2D rectangular area. This projection is bounded with two curved lines which fit to the top and bottom text lines with the two straight lines which fit to the right and left text boundaries. In the second step, fine dewarping is used based on the detection of words. Lower and upper word baselines are used to normalize the detected words. Keywords— dewarping; SIFT; LSE; polynomial regression; Euclidean distance