Abstract: The purpose of this paper is to introduce a fingerprint matching approach based on minutiae. In this paper, we used the structral invariance of local minutiae to found local vectors, then integrate the best matching point and its neighbour points to get more accurate parameters of alignment adjustment, at last, we integrate multi-discriminant to complete fingerprint matching. The experiment data show that, our method have achieved a higher accuracy.