Securing Biometric Data

    •  Vetro, A.; Draper, S.; Rane, S.; Yedidia, J., "Securing Biometric Data" in Distributed Source Coding, Dragotti, P.L. and Gastpar, M., Eds., ISBN: 978-0-12-374485-2, Elsevier, January 2009.
      BibTeX Download PDF
      • @incollection{Vetro2009jan,
      • author = {Vetro, A. and Draper, S. and Rane, S. and Yedidia, J.},
      • title = {Securing Biometric Data},
      • booktitle = {Distributed Source Coding},
      • year = 2009,
      • editor = {Dragotti, P.L. and Gastpar, M.},
      • month = jan,
      • publisher = {Elsevier},
      • isbn = {978-0-12-374485-2},
      • url = {}
      • }
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  • Research Areas:

    Algorithms, Information Security, Multimedia

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Robust feature extraction is combined with syndrome coding to build a secure fingerprint biometrics system.

This chapter discusses the application of distributed source coding techniques to biometric security. A Slepian-Wolf coding system is used to provide a secure means of storing biometric data that provides robust biometric authentication for genuine users and guards against attacks from imposters. A formal quantification of the trade off between security and robustness is provided as a function of the Slepian-Wolf coding rate. Prototype secure biometric designs are presented for both iris and fingerprint modalities. These designs demonstrate that it is feasible to achieve information-theoretic security while not significantly compromising authentication performance (measured in terms of false-rejection and false-acceptance rates) when compared to conventional biometric systems. The methods described in this chapter can be applied to various architectures, including secure biometric authentication for access control and biometric-based key generation for encryption.