A novel algorithm of fingerprint encryption using minutiae-based transformation

摘要

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 can-celled 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 com-pared to related fuzzy vault systems. Experimental results show the comparative performance of match-ing using both transformed and original data. We find that transformed matching also has an impressive accuracy and speed.