Research on Character Recognition Technology Based on Neural Network

被引：0
|
作者：
Huang, Lu [1 ]
机构：
[1] Yangzhou Haitong Elect Co Ltd, Yangzhou 225101, Jiangsu, Peoples R China
来源：
INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND ROBOTICS 2020 | 2020年 / 11574卷
关键词：
deep learning; character recognition; convolutional neural network;
D O I：
10.1117/12.2574842
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页数：7
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