  With large-scale adaption to biometric based applications, security and
privacy of biometrics is utmost important especially when operating in
unsupervised online mode. This work proposes a novel approach for generating
new artificial fingerprints also called proxy fingerprints that are natural
looking, non-invertible, revocable and privacy preserving. These proxy
biometrics can be generated from original ones only with the help of a
user-specific key. Instead of using the original fingerprint, these proxy
templates can be used anywhere with same convenience. The manuscripts walks
through an interesting way in which proxy fingerprints of different types can
be generated and how they can be combined with use-specific keys to provide
revocability and cancelability in case of compromise. Using the proposed
approach a proxy dataset is generated from samples belonging to Anguli
fingerprint database. Matching experiments were performed on the new set which
is 5 times larger than the original, and it was found that their performance is
at par with 0 FAR and 0 FRR in the stolen key, safe key scenarios. Other
parameters on revocability and diversity are also analyzed for protection
performance.
