Finger Print Parameter Based Cryptographic Key Generation

A method is proposed for generation of unique cryptographic key which is generated using figure prints of the user, which are stable throughout person's lifetime. The proposed approach reduces the cost associated with lost keys, addresses non-repudiation issues and provides increased security of digital content. This approach has reduced the complicated sequence of the operation to generate crypto keys as in the traditional cryptography system . The key is derived directly from the figure print data and is not stored in the database, since it creates more complexity to crack or guess the cryptographic keys. Biometrics, cryptography and data hiding will provide good perspectives for information security. We proposed an algorithm for deriving the key from biometric for ECC (Elliptic Curve Cryptography) based applications which will provide high security with good performance in terms of computational and bandwidth requirements.There are several biometric systems in existence that deal with cryptography, but the proposed figure print parameter based cryptographic key introduces a novel method to generate cryptographic key. This approach is implemented in MATLAB and can generate variable size cryptographic key, with minimum amount of time complexity, which is aptly suited for any real time cryptography.