Design of image recognition system based on deep learning hybrid model

Ping Huang; Weixi Feng; Haiyuan Xu

doi:10.1117/12.2690006

10 August 2023 Design of image recognition system based on deep learning hybrid model

Ping Huang, Weixi Feng, Haiyuan Xu

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 1274806 (2023) https://doi.org/10.1117/12.2690006
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

The development of image processing technology has provided strong support for image recognition technology. At present, image recognition technology has gradually broken through the concept limit and has been applied to many fields. Image recognition technology is an innovation and upgrading of image processing technology, which is mainly used to collect and transmit various information through computer operation. At present, image processing technology mostly adopts the method based on depth learning model, but the traditional depth learning model has many disadvantages in image processing. In order to solve the problems of a single depth learning model, an image recognition system design based on depth learning hybrid model is propose.

Citation Download Citation

Ping Huang, Weixi Feng, and Haiyuan Xu "Design of image recognition system based on deep learning hybrid model", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 1274806 (10 August 2023); https://doi.org/10.1117/12.2690006

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