Handwritten Character Recognition on Primary (test)
98.84AccuracyProposed (MHCAF-Net)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Proposed (MHCAF-Net)Architecture=Hybrid Fusion, Dataset Size=50,700, Class=782026.04 | 98.84 | 98.87 | 98.84 | 98.84 | |
| VashaNet-V1Architecture=26-Layer DCNN, Dataset Size=5,750, Class=502026.04 | 94.6 | 95 | 95 | 95 |