Fingerprint Recognition Using Minutiae Matching

Abstract

Fingerprints are the most common authentic biometrics for personal identification, especially for forensic security. A minutiae matching is widely used for fingerprint recognition and can be classified as ridge ending and ridge bifurcation. For Fingerprint thinning, the block filter is used, which scans the image at the boundary to preserves the quality of the image and extract the minutiae from the thinned image. FPR provides reliable and better performance than the existing technique. The False Matching Rate (FMR) is better compared to the existing algorithm. Usually a technique called minutiae matching is used to be able to handle automatic fingerprint recognition with a computer system