Figures & data
Figure 1. General architecture of character recognition.
Figure 2. Architecture of Text detection model.
Figure 3. CBAM module.
Figure 4. Basicblock.
Table 1. Parameters of each layer of text detection model.
Figure 5. Architecture of Text Recognition model.
Figure 6. Affine transformation to corrected characters.
Figure 7. Curve of parameters during training.
Table 2. Model training parameters settings.
Table 3. Comparison of text detection models on different datasets.
Table 4. Comparison of different detection algorithms.
Table 5. Comparison of the effect of the improved recognition algorithm.
Figure 8. Resize.
Table 6. Comparison of resize results.
Table 7. Jetson nano configuration.
Table 8. Comparison of model complexity and inference time.
Figure 9. Dot matrix character recognition effect.
Figure 10. Other print character recognition effect.
