Locking folders effectively protects data from malicious programs, such as Viruses, Worms, and Trojans. Biometric template protection is a hot topic of research recently. Fuzzy vault is a recently developed construct which binds secret key (Password) and biometric information to provide template protection. In this paper we propose a biometric folder locking system using fuzzy vault for face. At the user's side, biometric template(face) and the password are accepted from the user. At the locking stage, fuzzy vault encoding is implemented by transforming the biometric template and the password. Then, at the unlocking stage, for the biometric template claimed by the user, corresponding fuzzy vault will be checked. If it has been changed then folder unlocking will be failed. Otherwise, by decoding the fuzzy vault the key will be obtained. If the key is same as the password entered by the user, then unlocking the folder will be successful. Otherwise it will be failed. The contribution of this paper include: Instead of using the face image directly for processing, real time video for face is accepted from user and characteristic feature points will be further used for processing. No database is being used for storage of the characteristic feature points. The Galois field algorithm is used for storing the transformed values in the fuzzy vault. This will introduce difficulty in reconstructing the original values from the stored ones. The experimental results shows that the proposed scheme provides promising results.

Biometrics Face template Fuzzy vault Secret key Canny Edge