Fingerprint matching combining the global orientation field with minutia

We define a novel feature vector for each fingerprint minutia based on the global orientation field. These features are used to identify corresponding minutiae between two fingerprint impressions by computing the Euclidean distance between vectors. A novel fingerprint matching algorithm is developed using both the orientation field and minutia. A series of experiments conducted on the public data collection, DB3, FVC2002, demonstrates the effectiveness of our method.