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Thesis - Instituto de Telecomunicações

Thesis - Instituto de Telecomunicações

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132 CHAPTER 6. APPLICATIONS AND RESULTSFigure 6.15: Histogram of feature vectors length for the ECG biometric system.n EER (in %) std1 4.8 0.23 3.4 0.35 2.4 0.47 2.2 0.39 1.7 0.2Table 6.3: Mean equal error rate and respective standard <strong>de</strong>viation for different numbersof training and testing samples n. Each sample corresponds to 10 heart beats.In the case of the ECG signal we <strong>de</strong>ci<strong>de</strong> on accepting or rejecting a user based on ascore function, computed as the minimum Eucli<strong>de</strong>an distance of the testing sample to thetraining vector.When we have a sequence of testing samples we combine the individual result via thesum rule.6.3.3 Authentication ResultsWe observe the evolution of the sequential classifier EER in figure 6.16. The equal errorrate, is <strong>de</strong>creasing from a initial EER ≈ 4.8% to ≈ 1.7%. Table 6.3 presents some of theresults.

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