A Digest-based Method for Efficiency Improvement of Security in Biometrical Crypthography Authentication

All biometric cryptographic algorithms need a secret key or a random number as an ID or biometric information to identify an individual that aims to enter the system. The biometric information is unique and trustable for making an authentication system. Most of current schemes utilize encryption/decryption methods including RSA to make secure data from primary biometric information. Generally, encrypting and decrypting algorithms have slow and time-consuming operations. Comparing information of an individual aims to enter the system with that of the authorized clients in database is a complex issue that has motivated researchers to examine the possibility of chance and likely combinations. In this paper, we propose a new concept called “digest” to provide an authorization system that should work properly with any set of biometric traits. The digest value together with the systems parameters are used by the matching module for the authentication. Through the digest, nobody can capture any information of primary biometric traits. The properties mentioned above lead to increases of the accuracy, accessibility and easiness level of a biometric system.