Spiral Curve for Revocable Touchless Fingerprint Template Securisation

Abstract

Fingerprint data is really protected by cancelable fingerprint template because it can be revoked when compromise and a new one can be reissued. We develop a touchless cancelable fingerprint template whose algorithm was published in our previous work. We implement here the algorithm and conducted several tests on several databases to confirm the stability of the model. To justify how specific keys are used, we used the KolmogorvSmirnov test (K-S) and the distribution histogram of legitimate / impostor scores. We compared two systems in which users register. This is the reason for the average value of K-S (0.7812) and similarity assessment (2.4703). These results improve sufficiently (6.1636 and 0.9934 for the successive separability and the K-S test) during the evaluation of the user keys through the second device. We have tested the diversity of curves that we generate. Our proposed non-contact revocable fingerprint model has demonstrated robustness against the security challenges that fingerprint authentication systems are exposed to. We evaluated it on our own database. The requirements of revocability, diversity and security are achieved with very good performance as evidenced by the FAR (False Acceptance rate) obtained on our database (0.0015).