Konferenzbeitrag
Gait template protection using HMM-UBM
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Text/Conference Paper
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Datum
2018
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Verlag
Köllen Druck+Verlag GmbH
Zusammenfassung
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.