Comparable features and same cryptography key generation using biometric fingerprint image

To enforce the privacy of data, it is important that attacker should not get an access of the resources. Several mechanisms have been reported to ensure this. All these mechanisms use a private key such as password or cryptographic key to encrypt data. The problem with this technique is that owner should remember the key or store cryptography key in a database, which, in fact, make the system under threat. In this paper, we have addressed this concern and propose biometric-based data encryption strategy to secure user's own data. We capture a biometric data for a user from which it extracts statistical features. These feature vectors are then used to generate a cryptography key. We encrypt users' data with this cryptographic key. Similar procedure is followed to decrypt the data. We have carried out number of experiments with our approach using standard fingerprint image databases. The experimental results substantiate that on the average 97.25% users have generated same and irrevocable cryptographic key. The advantages of our approach are that it generate unique and dynamic biometric-based cryptography key, the storage of neither templates nor keys are required and it is faster and accurate in terms of key generation.