Crypto Biometrics system is recently an emerging effective process to generate the keys and gaining high security authentication to validate the person verification by using biometric features. Biometric features will improve the security of cryptographic system. In such case, the stable cryptographic key should be generated from the biometrics. In this paper we are using retina biometric to generate the key, the key is directly generated from the human retina biometric information such as retinal blood vessels which is not stored in the database. This article presents three retina biometric features such as number of end points, bifurcation points and islands. This work emphasizes upon unification of these three features which enables one to generate the secured cryptographic key. This work introduces a novel algorithm named as EBI unification algorithm, which aims at the unification of the three features in order generate a more secured cryptographic key. This mode of operations in network security creates more complexity for hackers to crack. Also, it becomes highly difficult even to guess the cryptographic key or biometric key. This approach further reduces the cost associated with lost key and provides more security.

Full text: IJEIR_1122_Final.pdf