Abstract
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.
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Yang, B., Gafurov, D., Busch, C., Bours, P. (2010). Encrypting Fingerprint Minutiae Templates by Random Quantization. In: Zavoral, F., Yaghob, J., Pichappan, P., El-Qawasmeh, E. (eds) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14292-5_52
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DOI: https://doi.org/10.1007/978-3-642-14292-5_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14291-8
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