Parameterized geometric alignment for minutiae-based fingerprint template protection

In this paper a parameterized geometric alignment method is proposed for minutiae-based fingerprint template protection by transforming an original minutia vicinity into a geometrically-aligned and protected minutia vicinity by randomly generated parameters. Template diversification can be achieved by setting different parameters for different minutiae vicinities. Comparison result of two protected templates is summarized from comparison results of protected minutiae vicinities from both templates. Experimental results on the public FVC2002DB2_A database show satisfactory biometric performance (with average Equal Error Rate 0.0404) of the proposed algorithm. Performance and security analysis are also given for the proposed approach.