Parameterized geometric alignment for minutiae-based fingerprint template protection
作者： Bian Yang , Christoph Busch
DOI: 10.1109/BTAS.2009.5339058
关键词:
摘要: In this paper a parameterized geometric alignment method is proposed for minutiae-based fingerprint template protection by transforming an original minutia vicinity into geometrically-aligned and protected randomly generated parameters. Template diversification can be achieved setting different parameters minutiae vicinities. Comparison result of two templates summarized from comparison results vicinities both templates. Experimental on the public FVC2002DB2_A database show satisfactory biometric performance (with average Equal Error Rate 0.0404) algorithm. Performance security analysis are also given approach.
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