2007 | OriginalPaper | Buchkapitel
Computationally Secure Authentication with Noisy Data
verfasst von : Berry Schoenmakers, Pim Tuyls, PhD
Erschienen in: Security with Noisy Data
Verlag: Springer London
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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.