For images without obvious lines

a novel skew correction method based on feature points matching is proposed. In this method

the correction does not use actual lines

but relies on the lines constructed by the feature points extracted from the images. It is translation and scale invariant. Through bidirectional best correlative coefficients calculation

a high matching rate can be achieved. Mismatching can be decreased

by using the method based on the Law of Large Numbers. It can get the correct slant angles by using only two matching pairs. In addition

due to the special application background of this paper

a disk template is designed to extract the Eigenvector of the features

which leads to rotation invariance.