Technology of Graphic & Image
|
1239-1243

Research on handwritten digit recognition based on deep convolution self-coded neural network

Zeng Wenxian
Meng Qinglin
Guo Zhaokun
School of Information Technology, Hebei University of Economics & Business, Shijiazhuang 050061, China

Abstract

This paper studied the accuracy of handwriting recognition under different fonts, combined a deep convolutional neural network with an automatic encoder to design a convolutional self-encoder network layer and form a deep convolutional self-encoding neural network. Firstly, it used the bilinear interpolation method to preprocess the MNIST dataset and 10 000 self-made Chinese college students' handwritten digital images. Then it used a single MNIST dataset to train and test the deep convolutional self-encoding neural network. Finally, it mixed MNIST with 5 000 images of self-made dataset, trained the network again, and tested another 5 000 images. The experimental data show that the correct rate of the deep convolutional self-encoding neural network in the MNIST test set reaches 99.37% and the correct rate of 5 000 self-made dataset model tests is 99.33% which indicates that the algorithm is practical, and has higher recognition accuracy on different pen figures. The model is accurate and effective.

Foundation Support

河北省科技计划资助项目(17450112D)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.09.0774
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Technology of Graphic & Image
Pages: 1239-1243
Serial Number: 1001-3695(2020)04-060-1239-05

Publish History

[2020-04-05] Printed Article

Cite This Article

曾文献, 孟庆林, 郭兆坤. 基于深度卷积自编码神经网络的手写数字识别研究 [J]. 计算机应用研究, 2020, 37 (4): 1239-1243. (Zeng Wenxian, Meng Qinglin, Guo Zhaokun. Research on handwritten digit recognition based on deep convolution self-coded neural network [J]. Application Research of Computers, 2020, 37 (4): 1239-1243. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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