Research on image recognition mechanism based on deep learning

Qiang Han; Yueru Wang; Wenye Sun

doi:10.1117/12.2636974

29 April 2022 Research on image recognition mechanism based on deep learning

Qiang Han, Yueru Wang, Wenye Sun

Proceedings Volume 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022); 1224705 (2022) https://doi.org/10.1117/12.2636974
Event: 2022 International Conference on Image, Signal Processing, and Pattern Recognition, 2022, Guilin, China

Abstract

This paper discusses the important role of deep learning technology in optimizing the image recognition function of digital libraries. On this basis, it analyzes the necessity and feasibility of building an image recognition mechanism based on deep learning technology, and expounds the application of deep neural network to construct images. The main contents of the recognition mechanism, including the mobile vision big data input layer, the mobile visual resource organization layer, the deep neural network analysis layer and the mobile vision service interaction layer, etc. Realization of personalized smart service in library.

Citation Download Citation

Qiang Han, Yueru Wang, and Wenye Sun "Research on image recognition mechanism based on deep learning", Proc. SPIE 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022), 1224705 (29 April 2022); https://doi.org/10.1117/12.2636974

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