A novel fingerprint minutiae matching using LBP

Fingerprint recognition or fingerprint authentication refers to the automated method of verifying a match between two human fingerprints. Fingerprint is most popular biometric, and minutiae matching is used for the fingerprint matching. The matching algorithm may use the local or global or the scale invariant information. However, the technique providing fewer false matching with high accuracy consumes a large amount of processing time. Nevertheless, a particular technique can be applied based on the position of the minutiae point on a finger. The paper presents a technique that matches the minutiae point based on its location and features. The proposed technique consists of two phases. First phase uses the global match afterwards in the second phase validation is done by the local binary patterns. If any point matches in the first phase only then the LBP operator is used to match the texture. The simulation result shows better accuracy of the proposed algorithm.