Research on Image Recognition Based on Neural Network

Abstract

With the rapid development of Internet and mobile Internet, the image data in the network shows explosive growth. Image data is simple and intuitive, and contains rich information, which is widely used as a carrier of information exchange. Content-based image recognition can start from the image itself, first extract significant features from the image, and then recognize the image according to the differences of features, with good recognition effect. Neural network plays a very important role in artificial intelligence. Neural network is the key to realize artificial intelligence by learning data through algorithms and then making predictions and decisions. The image recognition of neural network is based on the image content. Neural network starts from the image data itself, extracts the image features of the bottom layer from the data, and then establishes the relationship between the image semantics of the bottom layer and the top layer through the algorithm of neural network, thus realizing the image recognition.