Table 3 Performance analysis for segmentation of subjects
From: Multi-orientation local ternary pattern-based feature extraction for forensic dentistry
Person | Subject 1 | Subject 2 | Subject 3 | Subject 4 |
|---|---|---|---|---|
Accuracy | 98.78 | 98.73 | 98.17 | 98.02 |
Sensitivity | 99.80 | 99.97 | 99.81 | 99.78 |
Specificity | 96.68 | 95.99 | 95.14 | 94.73 |
Precision | 98.41 | 98.21 | 97.44 | 97.26 |
Recall | 99.80 | 99.97 | 99.81 | 99.78 |
False-positive rate | 0.0332 | 0.0401 | 0.0486 | 0.0527 |
False-negative rate | 0.0020 | 0.0003 | 0.0019 | 0.0022 |