Biometric Authentication Using Multilevel Encryption And Decryption

Security becomes an important issue nowadays in communication and storage of images. Encryption is one of the method used to ensure the high security of images. Due to the intrinsic features of the images such as bulk data capacity and high correlation among pixels the earlier encryption techniques such as DES, AES, RSA, etc are not suitable for practical applications. So nowadays chaos based encryption is used. In this paper we have two process. The first process is the training process and the second one is testing process. In the training process we will perform the encryption of different fingerprint images and then it will be stored. And in the testing process we will perform the authentication of the user. And the authentication is done after the decryption of the image. The encryption is done in both spatial domain and frequency domain. The spatial domain encryption is done using reversible hidden transform and the frequency domain encryption is done using piecewise linear chaotic map, fractional wavelet packet transform and singular value decomposition. The decryption process is the inverse of encryption process. And finally the authentication is done using support vector machine classifier.

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