Abstract
The online handwritten Chinese character recognition simulation system is based on the web development and the Tensor Flow experimental platform. The CASIA-OLHWDB data set is used to obtain the classified data, and the Python technology is used to build the Web server, and the real-time and automatic data refresh is realized on the Web side. According to the actual results of the simulation system, the system can accurately identify the online handwritten Chinese characters.
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CITATION STYLE
Wang, Y. (2020). Online handwritten Chinese character recognition simulation system based on web. In Advances in Intelligent Systems and Computing (Vol. 1117 AISC, pp. 1766–1771). Springer. https://doi.org/10.1007/978-981-15-2568-1_249
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