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Table 4 Experiment for 30 (top) and 60 (bottom) real genuine observations to: emphasize on performance improvement when we have 30 and 60 genuine observations instead of 20 genuine observations (Table 3), show that data synthesis improves the results, and lastly, to observe the upward improvement when training sample size was increased using data drawn from Gaussian distribution

From: On biometric systems: electrocardiogram Gaussianity and data synthesis

Number of synthesis Number of imposter samples
EER (%) 20 40 60 80 100 150 200 250
Training with 30 real genuine dataset  
0 9.06 8.24 7.96 7.87 8.19 8.44 7.56 8.40
50 8.71 7.88 7.71 7.47 6.77 6.68 6.68 7.25
100 9.05 8.04 7.16 6.77 6.88 6.77 6.60 6.27
200 8.49 7.77 7.27 7.06 7.05 6.21 6.66 6.33
400 9.06 7.99 7.76 7.41 7.33 6.99 6.15 6.38
Training with 60 real genuine dataset  
0 7.38 6.50 6.36 6.01 6.06 5.98 5.82 5.38
50 7.24 6.39 6.17 5.98 5.37 5.12 5.63 5.17
100 7.35 6.35 6.20 5.97 5.46 5.17 5.03 5.13
200 7.54 6.52 5.91 5.70 5.56 5.28 5.08 5.28
400 7.35 6.43 6.34 6.07 6.02 5.64 5.40 5.04