Biometric encryption using enhanced finger print image and elliptic curve
G. Mary Amirtha Sagayee, S. S. Arumugam, G. S. Anandha Mala · International Journal of Electronic Security and Digital Forensics · 2013
Biometrics, cryptography and data hiding will provide good perspectives for information security (Bodo, 1994). The information security mainly depends on the secret key. In this paper, the issues related with key management of cryptosystem (Gao, 2010) is addressed by providing biometrics-based (Jain et al., 2007) key generation which is never stored or revealed to the authentication server. Finger print is widely used than the iris or face and more over it is the primary choice for most privacy concerned applications. Fingerprint-based authentication with randomly selected 40 minutiae is sufficient to generate the key. Elliptic curve is the best solution for cryptography (Miller, 1986). The proposed work deals about, how the image quality can be improved by introducing image fusion technique at sensor levels. The results of the images after introducing the decision rule based image fusion technique are evaluated and analysed with its entropy levels and root mean square error. Then the resultant enhanced image is used for extracting the key for ECC applications.