Action Image Recognition and Classification System Based on SIFT Algorithm

With the rapid development of high-tech, image processing technology is becoming more and more mature. However, some images taken in real life usually increase the difficulty of image recognition due to excessive noise, low pixels, image deformation and other reasons, and at the same time, the number of images is increasing, which makes the current recognition and classification system makes the recognition efficiency of images slow and the classification accuracy low. Action images often produce afterimages during the shooting process. In order to improve the matching and recognition rate of this type of image, this paper takes action images as the research object, and designs an action image recognition and classification system that can achieve high recognition accuracy. The SIFT algorithm is introduced into the system to improve the performance of the system to process images. Through the application of the system in action image recognition, it is found that the SIFT algorithm proposed in this paper has a good image classification effect.