Research on image recognition technology based on CNN

Hanqiao Zhang

doi:10.1117/12.2684297

1 August 2023 Research on image recognition technology based on CNN

Hanqiao Zhang

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127543H (2023) https://doi.org/10.1117/12.2684297
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

Convolution Neural Network (CNN) is an algorithm that takes an image as input, and then assigns weights and deviations to all aspects of the image to distinguish each other. The neural network can be trained by using a batch of images. Each image has a label to identify the true nature of the image. This paper gives the basic flow of CNN image recognition technology, and verifies the accuracy of its image recognition with the method of cat and dog image recognition. We used 1000 images for testing, and the recognition accuracy rate was as high as 94.5%, higher than the accuracy rate of 90.3% of SVM and 89.5% of KNN. The experimental results show that the image recognition technology based on CNN is a good image recognition technology, which can be widely used in real life.

Citation Download Citation

Hanqiao Zhang "Research on image recognition technology based on CNN", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127543H (1 August 2023); https://doi.org/10.1117/12.2684297

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