Abstract
The Chinese language is an important symbol of the Chinese traditional cultures, and also an important manifestation of the integration of the information technology and the traditional cultures. How to use the intelligent technology to promote the Chinese language and writing has also become an important trend of the development of the current era. In the process of the Chinese character recognition, the feature learning method and the DLQDF classifier proposed in this paper can obtain the performance of the deep convolution neural network (deep CNN). Therefore, the computational cost of the recognition is lower than that of the deep convolution neural network.
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Wang, Y. (2020). The Implementation of the Chinese Language and Character Recognition System Based on the Deep Learning. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2019. Advances in Intelligent Systems and Computing, vol 1117. Springer, Singapore. https://doi.org/10.1007/978-981-15-2568-1_248
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DOI: https://doi.org/10.1007/978-981-15-2568-1_248
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