Dingbang Fang, Gui Feng, Haiyan Cao, Hengjie Yang, Xue Han, Yincheng Yi. Handwritten Formula Symbol Recognition Based on Multi-Feature Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(7): 072001
- Laser & Optoelectronics Progress
- Vol. 56, Issue 7, 072001 (2019)
Fig. 1. Class distribution of 101 symbols
Fig. 2. Images randomly generated after original images passing through elastic distortion model. (a) Original images; (b) images randomly generated for first time; (c) images randomly generated for second time
Fig. 3. Structural diagram of DenseNet-SE network
Fig. 4. Structural diagram of residual-dense block module
Fig. 5. Validation accuracy comparison of DenseNet and DenseNet-SE
Fig. 6. Accuracy comparison of DenseNet-SE test set and validation set
Fig. 7. Symbols of misjudgment types in CROHME2016 test set
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Table 1. Distribution of CROHME experimental datasets
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Table 2. Time consumption and accuracy for each epoch test
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Table 3. Comparison between proposed method and different types of systems
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Table 4. Symbols of TOP-10 error discrimination types in CROHME2016
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