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Academic Journal of Computing & Information Science, 2023, 6(9); doi: 10.25236/AJCIS.2023.060902.

LOGO recognition system based on deep learning


Jiaming Liu, Sizhe Chen, Songyang Chen, Hanlun Dong, Haojie Ma, Xinyang Zhang

Corresponding Author:
Jiaming Liu

Beijing 21st Century International School, Haidian, Beijing, China


We used the deep learning architecture designed by ourselves to identify the logo, with good effect and accuracy. Our architecture uses four convolutional neural network architectures, two pooling structures and two fully connected neural network architecture.The characteristic of our architecture is that it is relatively simple. We can use the limited things we learn to create a program that meets our requirements.The results of the test were relatively successful. The logo recognition accuracy for our own data set can reach 95.83%.


Deep-learning, LOGO recognition, Neutral network architectures

Cite This Paper

Jiaming Liu, Sizhe Chen, Songyang Chen, Hanlun Dong, Haojie Ma, Xinyang Zhang. LOGO recognition system based on deep learning. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 9: 11-16. https://doi.org/10.25236/AJCIS.2023.060902.


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