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.

ContributionImage partitioning %Key parameters %

Wu et al. [1]Validation - 80Accuracy - 76
Training - 10Sensitivity - 81.1
Testing - 10Specificity - 61.5

Xu et al. [2]Validation &Accuracy - 86.7
Training - 85.4Sensitivity - 81.5
Testing - 14.6Precision - 80.8

Javaheri et al. [35]Accuracy - 91.66
Training - 90Sensitivity - 87.5
Validation - 10Specificity - 94

Present workAccuracy - 92
Sensitivity - 94
Validation - 80Precision - 96
Testing - 20Specificity - 87