Research on Low-Resolution Image Matching and Recognition Algorithm Based on Unified Feature Space

In this paper, the super-resolution method is introduced to analyze and study the low-resolution image matching and recognition. After processing the low-resolution image, the super-resolution method uses the unified feature space method to identify the relevant information in the image, so as to improve the recognition rate.