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Published in:
2010 | OriginalPaper | Chapter
Encrypting Fingerprint Minutiae Templates by Random Quantization
Authors : Bian Yang, Davrondzhon Gafurov, Christoph Busch, Patrick Bours
Published in: Networked Digital Technologies
Publisher: Springer Berlin Heidelberg
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An encryption method is proposed to use random quantization to generate diversified and renewable templates from fingerprint minutiae. The method first achieves absolute pre-alignment over local minutiae quadruplets (called minutiae vicinities) in the original template, resulting in a fixed-length feature vector for each vicinity; and second quantizes the feature vector into binary bits by random quantization; and last post-processes the resultant binary vector in a length tunable way to obtain a protected minutia. Experiments on the fingerprint database FVC2002DB2_A demonstrate the desirable biometric performance achieved by the proposed method.