A Skew Detection Method for 2D Bar Code Images Based on the Least Square Method
Ying-Hong Liang, Zhiyan Wang · 2006
A robust and fast algorithm for skew detection in 2D bar code images is proposed in this paper. It is based on the least square method. Unlike the methods based on Hough transforms that are computationally expensive, it quickly obtains skew angles making it applicable to real-time applications. This method includes two processes, the segmenting process searches for the bar code region, and then the line fitting process fits the borderline and obtains the skew angle. Experimental results show this method reduces the running time