Research on the Identification of Artworks Based on Image Recognition

In the era of big data, digital recognition technology is particularly important, and with the continuous upgrading of relevant information technology, beyond recognition technology has been widely developed in various fields. Through computer information technology as a way of information transmission.it is the basis of digital image processing technology as well as related recognition technology. In the "metaverse" environment, a large number of outstanding paintings are made into digital images and used for "big data" recognition. In order to find such artwork images better and faster, a more scientific and effective recognition method needs to be explored. In this paper, we compare the advantages and disadvantages of feature extraction and classification design with existing methods, and improve and optimize the feature extraction and classification recognition algorithm after completing artwork pre-processing. Finally, the performance of the method is verified by experimental analysis.