A Skew Distortion Correction Method for 2D Bar Code Images Based on Vanishing Points

The skew distortion is the crucial problem that influences the procession for the 2D bar code image recognition. However, as a result of the skew distortion, the vanishing points provide valuable information concerning the camera model used to capture the image. In this paper, a robust and fast algorithm for skew distortion correction in 2D bar code images based on vanishing points is put forward. This method includes three steps: detecting vanishing points in an image, calibrating camera model coefficients and correcting skew distortion. Experimental results show this method performs well and increases the recognition rate.