Fingerprint matching algorithms system is used for protecting fingerprint Privacy by combining two different fingerprints into a new Identity. To mix two fingerprints, each fingerprint is decomposed into two different components. In this work, an input fingerprint image is mixed with another fingerprint (e.g., from a different finger), in order to produce a new mixed image that obscures the identity of the original fingerprint. In the enrollment, two fingerprints are captured from two different fingers. The extraction minutiae positions are from one fingerprint, the orientation from the other fingerprint, and the reference points from both fingerprints. Based on this extracted information and our proposed coding strategies, a combined minutiae template is generated and stored in a database. Thus, a new virtual identity is created for the two different fingerprints, which can be matched using minutiae- based fingerprint matching algorithms. Experimental results show that this method is feasible in the cases where the privacy of the data is more important than the accuracy of the system and the obtained computational time is satisfactory. In recent years use of biometric technologies gains popularity a s concern about the privacy and misuse of biometric data increases. Thus protecting biometric data becomes an important issue. The oldest and widely used form of biometric identification is the fingerprints. It has been widely used in both forensic and civilian applications. Though much progress and research has been made in fingerprint authentication systems, the performance of even state of the art recognizer is still low. In addition to this, securing a stored fingerprint template is of paramount importance because once fingerprints are compromised fingerprint cannot be easily revoked.