
Research on Image Recognition Algorithm Based on Computer Deep Learning
Author(s) -
Shuqiang Du
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/3/032065
Subject(s) - computer science , artificial intelligence , field (mathematics) , image (mathematics) , process (computing) , image processing , deep learning , sharpening , noise (video) , computer vision , pattern recognition (psychology) , mathematics , pure mathematics , operating system
Image recognition is an important research direction in the field of image, which has become a key technology in many fields, such as machine vision. However, there are still many problems in traditional image recognition, such as sharpening and noise. With the artificial intelligence algorithm gradually applied to all walks of life, Deep learning (hereinafter referred to as DL) algorithm has been applied to image recognition, which has also made great achievements in image, voice, text and other aspects. Traditional image recognition methods need to design features manually. Therefore, the traditional image recognition speed is low, which will lead to low recognition rate. With the advent of the era of big data, massive image data has been generated on the network. Therefore, the traditional recognition method has been unable to meet the needs of image recognition, which requires us to constantly improve the recognition method. Based on CNN method, this paper analyzes the process of image recognition, which will improve the recognition rate of images.