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The training should be stopped once deterioration in the verification error is observed.
Verification error rates for the different SNR are shown in Table 2.
The presented experimental results show a significant reduction of verification error within a noise environment, especially for.
Our method has achieved 97.5% recognition rate on the FERET database, and 5.96% verification error rate on the BANCA database.
Although the noise does not have an influence on GAD, the speaker verification error is increased, even in a very noisy environment.
The identified Multi-Layer Perceptron (MLP) neural network model yields small verification error compared with that of the adaptive Radial Base Function (RBF) neural network model.
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Simulation of a collaboration configuration (h) addresses that despite verification, errors may still occur during service enactment.
This reflects in a relatively poor performance, with verification errors around 7% in the best systems in the literature.
The possible verification errors are the false rejection of the identical biometric entity and the false acceptance of the different biometric entity.
Since this approach attempts to invert biohashes in a similar setup with our proposed methods, we compared it with our algorithms in terms of verification errors and computation times.
This allows us to search for the Pareto set of best compromises between the projection and the constraint verification errors thereby enabling fine-tuning of the reduced model for a particular purpose.
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