Year: 2024
Type: article
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.
Authors: Zaozao Guo, Dr. Muhamad Firdaus Ramli, Rui Cui
Institution: Sultan Idris Education University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4403526303