Fig. 11

Classification accuracy comparison across all evaluated models. The proposed Hybrid Transformer-CNN model achieves the highest accuracy (99.97%) on the ASL Alphabet dataset, outperforming traditional CNNs, hybrid models, and pure transformer-based architectures.