Handwritten Character Recognition on Primary (train)
99.71AccuracyProposed (MHCAF-Net)
Evaluation results
| Method | Links | |
|---|---|---|
| Proposed (MHCAF-Net)Architecture=Hybrid Fusion, Dataset Size=50,700, Class=782026.04 | 99.71 | |
| VashaNet-V1Architecture=26-Layer DCNN, Dataset Size=5,750, Class=502026.04 | 98.58 |