Research Article
Artificial Intelligence-Powered Contactless Face Recognition Technique for Internet of Things Access for Smart Mobility
Table 5
Comparison of performance with other published similar work.
| Contribution | Image partitioning % | Key parameters % |
| Wu et al. [1] | Validation - 80 | Accuracy - 76 | Training - 10 | Sensitivity - 81.1 | Testing - 10 | Specificity - 61.5 |
| Xu et al. [2] | Validation & | Accuracy - 86.7 | Training - 85.4 | Sensitivity - 81.5 | Testing - 14.6 | Precision - 80.8 |
| Javaheri et al. [35] | | Accuracy - 91.66 | Training - 90 | Sensitivity - 87.5 | Validation - 10 | Specificity - 94 |
| Present work | | Accuracy - 92 | | Sensitivity - 94 | Validation - 80 | Precision - 96 | Testing - 20 | Specificity - 87 |
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