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Nandakumar et al.[18] have attempted to eliminate such variability using helper data and illustrated promising results.
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Fuzzy key extraction schemes are classified under the key generation ones and they use helper data [53 58].
Key binding and generation systems use helper data, which is public information, about the biometric template for verification.
Keys are directly generated from the helper data and a given biometric sample [4].
Keys are generated from helper data and a given biometric template in key generation schemes [3].
We refine the theory of helper data schemes with the zero leakage (ZL) property, i.e., the mutual information between the helper data and the extracted secret is zero.
It has two inputs: the helper data and a fresh noisy (biometric) value obtained from the same source.
The results collected through our experiments are very promising and indicate that significant EDP reductions are possible using helper threads.
The solution to the noise problem is to use a helper data scheme (HDS) [3, 4].
The former is, to our knowledge, the only other scheme sharing the zero secrecy leakage property, since it does not use any helper data.
Without use of helper data such biometric systems do not work properly.
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