Document Abstract
Fingerprints are the most common authentic biometrics for personal identification, especially for forensic security. A 2D minutiae matching is widely used for fingerprint recognition and can be classified as ridge ending and bifurcation. This paper is survey of 3D Minutiae Matching Technique referred as Minutiae Cylindrical code (MCC). This technique is based on 3D data structures called as Cylinders. A lot of physical data has been exchanged in this digital age. Based on this reason, the purpose of this paper is to improve fingerprint matching efficiency. In the current state of the art liner solution, utilizing Minutiae Cylindrical Code Technique. False Acceptance Rate (FAR), False Rejection Rate (FRR), Execution Time, Matching Time, Enrollment Time will be increased.