Table 4 The classification evaluation outcomes for each pre-trained deep learning model using the AHCR dataset are compared to the proposed ensemble and hybrid transformer models.

From: Integrating CNN and transformer architectures for superior Arabic printed and handwriting characters classification

The models

ACC

REC

PRE

F1 Score

AUC

VGG16

96.69

96.69

96.61

96.60

98.30

ResNet50

96.99

96.99

97.20

96.92

98.40

Ensemble model

97.59

97.50

97.78

97.51

98.80

The proposed hybrid transformer model

98.19

98.19

98.34

98.14

99.10