Abstract

New Year pictures are an essential part of Chinese traditional culture, with profound historical deposits and unique artistic value. However, with the rapid development of society, the inheritance and protection of traditional New Year pictures are facing many challenges. This article aims to introduce the application of machine learning-based image recognition technology in the protection and inheritance of traditional New Year paintings, and evaluate its accuracy and efficiency.One of them is the recognition of the New Year painting images. This paper introduces image recognition technology based on machine learning, including research background, method steps, result discovery, and advantage limitations. Image recognition is an essential means to protect and inherit the traditional New Year painting culture and machine learning technology can improve recognition accuracy and efficiency. This paper presents deep learning implemented through data collection, feature extraction, and classification. The experimental results show that the method can effectively identify New Year images with high accuracy and recall.