Research on character recognition technology based on neural network

Huang Lu

doi:10.1117/12.2574842

12 October 2020 Research on character recognition technology based on neural network

Huang Lu

Proceedings Volume 11574, International Symposium on Artificial Intelligence and Robotics 2020; 1157403 (2020) https://doi.org/10.1117/12.2574842
Event: International Symposium on Artificial Intelligence and Robotics (ISAIR), 2020, Kitakyushu, Japan

Abstract

Convolutional neural networks are currently popular multi-layer neural networks. They differ from traditional neural networks in some ways. They are mainly reflected in the introduction of three new concepts: weight sharing, receptive fields, and pooling. In this paper, for the handwritten digit character data set, a deep neural network is used to construct a LeNet network for training and recognition, and the data is enhanced differently to study and compare the recognition accuracy of the final network structure.

Citation Download Citation

Huang Lu "Research on character recognition technology based on neural network", Proc. SPIE 11574, International Symposium on Artificial Intelligence and Robotics 2020, 1157403 (12 October 2020); https://doi.org/10.1117/12.2574842

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