Robust skew estimation on low-resolution document images
Presents a new technique for estimating an arbitrary skew angle using a simple and efficient text row accumulation based on first- and second-order statistics. In contrast to other works, where an image resolution of 100-300 dpi is necessary, a lower resolution (50 dpi) is enough for our method to obtain a correct result. The performance of the method was evaluated on the database UW-1 of the University of Washington and compared with an advanced Hough transform-based method. A significantly lower error rate for our method confirms its advantages and benefits for automated document processing.