A robust fingerprint matching method
This paper is concerned with accurate and efficient fingerprint matching. We have two main contributions: 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. novel distortion-tolerant matching algorithm based on the closest triangle is developed. Furthermore, fingerprint directional field is also used to compute the final matching score combining with minutiae elaborately.
fingerprints matching features orientation field triangle