Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet
- Training Data : CASIA-HWDB1.0-1.2 and FlexiFont DataSets (Class = 7354)
- Testing Data : Chinese Handwriting Recognition Competition in ICDAR2013 (Class = 3755)
- AlexNet input size is 108 × 108; GoogLeNet input size is 112 × 112
- HCCR-AlexNet Caffemodel can be download from here
- Test accuracy on Chinese Handwriting Recognition Competition in ICDAR2013
| Network | Top-1 | Top-2 | Top-5 | Top-10 |
|---|---|---|---|---|
| AlexNet | 0.938437 | 0.975073 | 0.990790 | 0.995370 |
| GoogLeNet | 0.953227 | 0.982650 | 0.993464 | 0.996728 |
- Test accuracy vs. Iters (GoogLeNet)
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