In this chapter we discuss authentication techniques involving data such as biometrics, which are assumed to be typical (essentially unique) for a particular person (or physical object). The data are captured by a sensor or measuring device, which is an imperfect process introducing some noise. Upon enrollment of a user, a sample of the noisy data is captured and stored as a template. Later, during authentication, another sample of the noisy data is captured and matched against the stored template.
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© 2007 Springer-Verlag London Limited
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Schoenmakers, B., Tuyls, P. (2007). Computationally Secure Authentication with Noisy Data. In: Tuyls, P., Skoric, B., Kevenaar, T. (eds) Security with Noisy Data. Springer, London. https://doi.org/10.1007/978-1-84628-984-2_9
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DOI: https://doi.org/10.1007/978-1-84628-984-2_9
Publisher Name: Springer, London
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