Matching of fingerprint consists of comparing two fingerprints and find out if they belong to the same finger. Mathematically, any matching algorithm computes the degree of similarity, using the feature information of each fingerprint and return some score (e.g., between 0 and 1) which represents the probability that the two finger are from the same finger. Therefore depending of the resulted score, a fingerprint recognition system decides if there is matching or non-matching. Automatically fingerprint image matching is a challenging problem due to many factors such as displacement, rotation, non-linear distortion, partial overlapping, noise, skin condition, etc. Many algorithm have been proposed in the pattern recognition literature. The large number of approaches can be classified in the following three classes: correlation based matching, minutiae based matching and ridge feature based matching.