DeepHCCR
Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet
Instruction
Result
- 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)
Reference
- Krizhevsky A, Sutskever I, Hinton G E. Imagenet classification with deep convolutional neural networksx[C]//Advances in neural information processing systems. 2012: 1097-1105.
- Szegedy C, Liu W, Jia Y, et al. Going deeper with convolutions[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015: 1-9.
- Zhong Z, Jin L, Xie Z. High performance offline handwritten Chinese character recognition using GoogLeNet and directional feature maps[C]//Document Analysis and Recognition (ICDAR), 2015 13th International Conference on. IEEE, 2015: 846-850.
- Yin F, Wang Q F, Zhang X Y, et al. ICDAR 2013 Chinese handwriting recognition competition[C]//2013 12th International Conference on Document Analysis and Recognition. IEEE, 2013: 1464-1470.