Camera-captured document image perspective distortion correction using vanishing point detection based on Radon transform

A correction method for perspective distortions on document images is discussed. In documents, lines and line feeds give rise to many horizontal and vertical lines, then two vanishing points generated by these lines can be computed. High-energy regions are identified in the Radon transform thanks to a binarization step. Then, the image is zero-padded and the inverse Radon transform is applied to underline the main lines direction in the original image. The distortion is corrected by the perspective mapping determined with the two vanishing points and we propose to compute the homography matrix for the perspective mapping. Experimental results show that our method can correct the perspective distortions effectively and outperforms the state-of-the-art for vanishing points detection accuracy.