Summary of CNN Algorithm for Image Recognition

Ningyuan Feng

2025

Abstract

With the advancement of technology, the way computers get information is also constantly improving, from the Linux system that can only use code input to the text input of the later Windows system, language character recognition system, to today's more advanced image recognition system. New technologies are constantly emerging to refresh people's understanding of it, but also continue to facilitate people's lives. This paper will analyse the principle and logic of image recognition by computer CNN algorithm from the perspective of a computer, and explain the process of feature extraction, feature analysis, and feature classification of images by hidden layers such as the convolution layer, pooling layer and fully connected layer. At the same time, the paper also studied and explored the advantages and disadvantages of each layer of the hidden layer and tried to put forward corresponding solutions in combination with subsequent studies. For example, the limitation of the receptive field of the convolutional layer led to the decline of robustness and accuracy. Therefore, this shortcoming can be remedied by introducing a residual mechanism or attention mechanism. Finally, a reasonable analysis of the future algorithm direction is made according to the existing research.

Paper Citation

in Harvard Style

Feng N. (2025). Summary of CNN Algorithm for Image Recognition. In Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-765-8, SciTePress, pages 182-187. DOI: 10.5220/0013680700004670

in Bibtex Style

@conference{icdse25,
author={Ningyuan Feng},
title={Summary of CNN Algorithm for Image Recognition},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={182-187},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013680700004670},
isbn={978-989-758-765-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Summary of CNN Algorithm for Image Recognition
SN - 978-989-758-765-8
AU - Feng N.
PY - 2025
SP - 182
EP - 187
DO - 10.5220/0013680700004670
PB - SciTePress