A novel minutiae-based method using local alignment to match the deformed fingerprints is proposed in this paper. We apply texture-based and structure-based minutiae information to obtain multiple reference minutiae at first

and then globally and evenly align two sets of minutiae to obtain the common overlapping region based on these reference minutiae. Next

we use the minutiae and their closest reference minutia to establish the local correspondence. After the registration of the fingerprints according to the local correspondence

the number of matching minutiae can be counted using bounding box constraints. Experimental results confirm that the proposed algorithm which is based on local correspondence is reliable for fingerprint matching with nonlinear distortions and leads to improvement in identification performance.