| Training stage with 80% of NIST’s data | |||||||
| Classic method | Probabilist method | Mean classes LCNN | 1-PPV LCNN | K-PPV LCNN (K = 8) | Proposed method | ||
Training time | No | 66 min | 48 min | 54 min | 62 min | 74 min | ||
Recognition time | 45 s | 5 s | 4 s | 5 s | 9 s | 11 s | ||
AR (en %) | 91.8 | 94.6 | 49.8 | 88.3 | 92.7 | 94.7 | ||
FRR (en %) | 7.7 | 4.8 | 17.3 | 11.3 | 6.7 | 4.8 | ||
FAR (en %) | 0.5 | 0.6 | 32.9 | 0.4 | 0.6 | 0.5 | ||
| Training stage with 80% of BDAL’s data | |||||||
| Classic method | Probabilist method | Mean classes LCNN | 1-PPV LCNN | K-PPV LCNN (K = 8) | Proposed method | ||
Training time | No | 22 min | 16 min | 18 min | 21 min | 25 min | ||
Recognition time | 29 s | 3 s | 2 s | 3 s | 7 s | 9 s | ||
AR (en %) | 91.4 | 94.2 | 49.9 | 87.9 | 92.3 | 94.3 | ||
FRR (en %) | 8.0 | 5.1 | 17.6 | 11.6 | 7.0 | 5.1 | ||
FAR (en %) | 0.6 | 0.7 | 33.0 | 0.5 | 0.7 | 0.6 | ||