A novel algorithm of fingerprint encryption using minutiae-based transformation

This paper presents a novel algorithm of fingerprint encryption which transforms fingerprint minutiae and performs matching in the transformed form. If an encrypted template is compromised, it can be cancelled by choosing just another transformed template. In our algorithm, a circular region is constructed around each minutia and non-invertible transformation is applied to all regions but only transformed regions are stored in the database. The proposed algorithm improves the accuracy of verification compared to related fuzzy vault systems. Experimental results show the comparative performance of matching using both transformed and original data. We find that transformed matching also has an impressive accuracy and speed.

Research highlights
► Fingerprint encryption improves security and privacy.
► Non-invertible transformation is applied to minutiae.
► Dimension reduction and PIN are employed in the transformation .
► The transformation offers high accuracy during enrollment and matching.