Table 5 Comparative performance metrics across algorithms on ASL datasets.

From: A hybrid CNN-transformer framework optimized by Grey Wolf Algorithm for accurate sign language recognition

Dataset

Algorithm

Performance measure metrics

Accuracy

Recall

Precision

F1-score

ASL alphabet

PCA-IGWO

93.06

93.22

90.86

92.02

KPCA-IGWO

96.15

94.25

87.29

90.64

AEGWO-NET

97.69

96.73

93.44

95.06

GWO-CTransNet

99.40

99.27

99.36

99.31

ASL MNIST

PCA-IGWO

91.26

93.18

94.04

93.61

KPCA-IGWO

93.37

96.42

95.86

96.14

AEGWO-NET

98.26

97.44

96.23

96.83

GWO-CTransNet

98.07

97.01

97.33

97.17