An Integrated Cryptographic Algorithm based on Biometric Features

Biometric cryptography is a technique using biometric features to encrypt the data which can improve the security of the encrypted data and can overcome the shortcomings of the traditional cryptography. Biometric features are integrated with the cryptographic techniques for better security and authentication. The proposed work concentrates on the integration of the retinal biometric features with the cryptographic techniques. Reed-Solomon (RS) error correcting algorithm is employed directly to encrypt and decrypt the data. The encrypted data generated using RS code is added to the retinal feature to obtain more secured encrypted data. To decrypt the data, the encrypted data is subtracted from retinal features to get the original data. The performance of the proposed approach is compared with the existing Iris features and the experimental results shows that FAR (False Acceptance Ratio) and FRR (False Rejection Ratio) of the proposed system has been very much reduced. In future, Multimodal Biometrics can be implemented and their performance measures like Failure to Enroll, System throughput and fraud prevention level can be estimated.