In today’s rapid development of information technology, integrating woodblock prints into campus curriculum development is an effective path to cultivating students’ cultural confidence. This paper takes the specific inspiration of woodblock New Year’s paintings for campus curriculum development as the entry point, and designs the implementation process of woodblock New Year’s paintings school-based curriculum. The stylistic features and color characteristics of woodblock prints are crucial for teachers to develop their teaching curriculum. In this paper, two-dimensional stylized images combined with an elliptic Fourier algorithm are used to preprocess and optimize the images of woodblock prints. The color features of woodblock annual paintings are extracted by the Mean shift algorithm based on pixel expression, which can be used to develop a school-based curriculum for teachers. In order to verify the effectiveness of the above method in extracting the shape and color features of woodblock annual paintings, this paper designs relevant experiments to carry out the verification analysis. The results show that the styling optimization based on the elliptic Fourier method has a stable output rate of about 0.92 after more than 300 iterations, and the recognized woodblock New Year’s painting styling image has the best clarity, up to about 0.211. The color feature matching method based on pixel expression increases with the number of feature matching points, and its final time consumption is approximately 32.5 seconds. The full combination of science and technology can combine the traditional excellent culture with curriculum development, providing a new path to revitalize the traditional culture as well as innovative curriculum teaching.