| 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 | ||
Recognition time | 21 s | 4 s | 3 s | 4 s | 6 s | 7 s | ||
AR (en %) | 92.1 | 94.8 | 51.1 | 88.9 | 92.9 | 94.9 | ||
FRR (en %) | 7.4 | 4.6 | 16.3 | 11.7 | 7.3 | 4.6 | ||
FAR (en %) | 0.5 | 0.6 | 32.6 | 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 | ||
Recognition time | 15 s | 2 s | 1 s | 2 s | 4 s | 6 s | ||
AR (en %) | 91.8 | 94.6 | 50.8 | 88.6 | 92.6 | 94.8 | ||
FRR (en %) | 7.6 | 4.7 | 16.2 | 10.9 | 6.7 | 4.6 | ||
FAR (en %) | 0.6 | 0.7 | 33.0 | 0.5 | 0.7 | 0.6 | ||