| 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 | 26 s | 4 s | 3 s | 4 s | 6 s | 7 s | ||
AR (en %) | 92.4 | 95.2 | 51.8 | 89.3 | 93.3 | 95.3 | ||
FRR (en %) | 7.1 | 4.2 | 15.3 | 10.3 | 6.1 | 4.2 | ||
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 | ||
Recognition time | 19 s | 2 s | 1 s | 2 s | 4 s | 6 s | ||
AR (en %) | 92.0 | 94.7 | 51.5 | 89.0 | 92.9 | 94.9 | ||
FRR (en %) | 7.4 | 4.6 | 15.5 | 10.5 | 6.4 | 4.5 | ||
FAR (en %) | 0.6 | 0.7 | 33.0 | 0.5 | 0.7 | 0.6 | ||