Image Recognition of New Year Pictures based on Machine Learning
Zaozao GuoPHD Candidate, Faculty of Art, Sustainable and Creative Industry, Sultan Idris Education University zaozaoguo@163.com0009-0009-3478-2008
Dr. Muhamad Firdaus RamliFaculty of Art, Sustainable and Creative Industry, Sultan Idris Education University firdaus.ramli@fskik.upsi.edu.my0000-0002-4237-8461
Rui CuiPHD Candidate, Faculty of Art, Sustainable and Creative Industry, Sultan Idris Education University 64791238@qq.com0009-0004-8647-0958
Keywords: Machine Learning, New Year Picture, Feature Extraction, Image Recognition
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. 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.