The image of national costumes is the main way of presenting the digitalization of intangible cultural heritage and provides important resources for educational informatization. How to use modern information technology to efficiently retrieve images of national costumes has become a hot research topic. Due to the diverse styles and colorful colors of ethnic costumes, it is difficult to accurately describe and extract visual features. In view of the above problems, this paper proposes an image recognition model of intangible cultural heritage based on CNN and wireless network. First of all, the clothing images of ethnic settlements and ethnic museums are acquired through wireless network transmission, so as to construct an image material library of intangible cultural heritage. Secondly, the CNN algorithm is used to train and optimize the national costume image samples, extract the high-level semantic features of the national costume image and finally realize the efficient retrieval of the national costume image educational resources. This model lays a good foundation for the informatization of national costumes and contributes to the inheritance and protection of intangible cultural heritage.

民族服饰的形象是非物质文化遗产数字化呈现的主要方式，为教育信息化提供了重要资源。如何利用现代信息技术有效地检索民族服饰的图像已成为研究的热点。由于民族服饰的款式多样和色彩鲜艳，因此很难准确地描述和提取视觉特征。针对上述问题，提出了一种基于CNN和无线网络的非物质文化遗产图像识别模型。首先，通过无线网络传输获取民族聚居区和民族博物馆的服装图像，以建立非物质文化遗产图像资料库。其次，CNN算法用于训练和优化民族服装形象样本，提取民族服装形象的高级语义特征，最终实现民族服装形象教育资源的有效检索。这种模式为民族服饰的信息化奠定了良好的基础，并为非物质文化遗产的传承和保护做出了贡献。