The proposed method can reduce the searching space in alignment, and what is more attractive is that it obviates the need for extracting minutiae points or the core point to align the fingerprint images. Experimental results show that the proposed method is more robust than using the reference point or using the minutiae to align the fingerprint images.Fingerprint is one of the popular biometric traits used for recognizing a person. Properties which make fingerprint popular are it’s wide acceptability in public and ease in collecting the fingerprint data. In this project we propose a method for fingerprint matching based on minutiae matching. However, unlike conventional minutiae matching algorithms our algorithm also takes into account region and line structures that exist between minutiae pairs. This allows for more structural information of the fingerprint to be accounted for thus resulting in stronger certainty of matching minutiae. Also, since most of the region an analysis’s preprocessed it does not make the algorithm slower.