Skew detection and correction method of document images based on improved Hough transform
基于改进Hough变换的文本图像倾斜校正方法

The skew of document images originated from scanning will bring much trouble to page segmentation and optical character recognition(OCR).Although traditional standard Hough transform is insensitive to noise and discontinuous,it has limitation in application because of huge calculation.A skew detection and correction of document images based on improved Hough transform was presented.Text-line direction extraction in multi-resolution image and reasonable voting threshold selection were introduced to reduce the affect brought by image skew.Experimental results show that this method is effective and accurate in skew detection and correction of document images.