International Core Journal of Engineering 2020-26 | Page 43

English handwriting quality based on CNNs. Experiments on
real-world data set show that our approach is more effective
than conventional machine learning methods. Of course, the
features extracted by CNNs are difficult to understand. We
hope that in the future, understandable features can be
extracted as evaluation criteria and corresponding
suggestions can be given to students and teachers.
[6]
[7]
[8]
A CKNOWLEDGMENT
Here we express our sincere thanks to Peking University-
Zhiyuan Science and Technology Collaborative Innovation
Laboratory for Smart Education for support.
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