Finger knuckle print authentication using AES and K-means algorithm

In general, the identification and verification are done by passwords, PIN number, etc., which can be easily cracked by hackers. Biometrics is a powerful and unique tool based on the anatomical and behavioural characteristics of the human beings in order to prove their authentication. Security is the most important thing in the world. Password is used for security, but it does not provide the effective security. So biometrics can be used to provide the higher security than the password. Finger Knuckle Print (FKP) is a unique biometric anatomical feature for an individual person. Biometric systems are suffered to a variety of attacks. In order to avoid these attacks, the biometric combined cryptography is the major tool. Bio-crypto system is to provide the authentication as well as the confidentiality of the data. This paper presents biometric key, which is generated from key points of FKP using k-means algorithm and secret hash value also generated using Secure Hash Algorithm (SHA) function, which is encrypted with the FKP extracted key points by Symmetric Advanced Encryption Standard (AES) algorithm. The key points extraction of FKP was derived using Scale Invariant Feature Transform (SIFT). Hence encrypted secret hash value secures biometric data and the secret value. The hash function protects the biometric data from malicious tampering, and it provides error checking functionality.