Auflistung P282 - BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group nach Autor:in "Argones Rúa, Enrique"
(BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group, 2018) Van hamme, Tim; Argones Rúa, Enrique; Preuveneers, Davy; Joosen, Wouter
This paper presents a hidden Markov model-Universal background model gait authentication
system, which is also incorporated into a template protection based on a fuzzy commitment
scheme.We show that with limited enrollment data the HMM-UBM system achieves a very competitive
equal error rate of 1% using one sensor. The proposed template protection scheme benefits
from eigenfeatures coming from multiple Universal background model systems fused with a novel
technique that minimizes the bit error rate for genuine attempts. This allows the protected system to
achieve a false rejection rate below 5% with an effective key length of 64 bits.