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A Novel Deep LeNet-5 Convolutional Neural Network Model for Image Recognition

Jingsi Zhang¹, Xiaosheng Yu¹, Xiaoliang Lei¹ and Chengdong Wu¹

1. Faculty of Robot Science and Engineering, Northeastern University
   Shenyang 110819, China
   newmansuper@163.com;yuxiaosheng@mail.neu.edu.cn;xiaolianglei@stumail.neu.edu.cn;wuchengdongnu@163.com

Abstract

At present, the traditional machine learning methods and convolutional neural network (CNN) methods are mostly used in image recognition. The feature extraction process in traditional machine learning for image recognition is mostly executed by manual, and its generalization ability is not strong enough. The earliest convolutional neural network also has many defects, such as high hardware requirements, large training sample size, long training time, slow convergence speed and low accuracy. To solve the above problems, this paper proposes a novel deep LeNet-5 convolutional neural network model for image recognition. On the basis of Lenet-5 model with the guaranteed recognition rate, the network structure is simplified and the training speed is improved. Meanwhile, we modify the Logarithmic Rectified Linear Unit (L ReLU) of the activation function. Finally, the experiments are carried out on the MINIST character library to verify the improved network structure. The recognition ability of the network structure in different parameters is analyzed compared with the state-of-the-art recognition algorithms. In terms of the recognition rate, the proposed method has exceeded 98%. The results show that the accuracy of the proposed structure is significantly higher than that of the other recognition algorithms, which provides a new reference for the current image recognition.

Key words

CNN, image recognition, feature extraction, deep LeNet-5, L ReLU

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS220120036Z

Publication information

Volume 19, Issue 3 (September 2022)
Year of Publication: 2022
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

Full text

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How to cite

Zhang, J., Yu, X., Lei, X., Wu, C.: A Novel Deep LeNet-5 Convolutional Neural Network Model for Image Recognition. Computer Science and Information Systems, Vol. 19, No. 3, 1463-1480. (2022), https://doi.org/10.2298/CSIS220120036Z