Fingerprint matching combining the adjacent feature with curvature of ridges

Minutiae matching is the most popular approach to fingerprint verification. A novel feature vector for each fingerprint minutia based on the adjacent feature and curvature of ridges had been defined in this paper. These features are used to identify corresponding minutiae between two fingerprint impressions by computing the Euclidean distance between vectors. A novel fingerprint matching algorithm had been developed using both features. A series of experiments conducted on the public data collection, DB3, FVC2002, demonstrates that the proposed method provides the effectiveness and a good trade-off between speed and accuracy.