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 | Â | |||||||
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 | Â | |||||||
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 |