Handwritten Chinese numeral recognition based on BP neural network
DOI: 10.23977/jipta.2021.41008 | Downloads: 8 | Views: 346
Yigui Wang 1
1 Jinan University College of information science and technology, Guangzhou, Guangdong, 511436
Corresponding AuthorYigui Wang
In this paper, based on pybrain library, a handwritten numeral recognition algorithm is realized by establishing BP neural network, and the accuracy and test time of the algorithm are verified by experiments. The experimental results show that after the training, the algorithm only takes 0.07 seconds in the test process of 50 groups of experimental data, and its accuracy is 98%.
KEYWORDSBP neural networks, Chinese handwriting, digital recognition, pybrain
CITE THIS PAPER
Yigui Wang. Handwritten Chinese numeral recognition based on BP neural network. Journal of Image Processing Theory and Applications (2021) Vol. 4: 51-55. DOI: http://dx.doi.org/10.23977/jipta.2021.41008.
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