Computer Information Technology and Network Security Analysis of Intelligent Image Recognition

Intelligent image recognition is one of the key research fields in the field of computer information, image recognition mainly includes feature extraction and classification recognition, among which feature extraction is the deficiency of the development of image recognition technology, recognition performance is good. The application of image recognition to computer and network security can achieve better target feature extraction and higher classification accuracy, and further improve the accuracy of computer and network security identification. This paper presents a method to improve feature extraction scheme and image recognition pattern by using computational information technology. In future research work, we can also propose new feasible unsupervised steering schemes. The Mobile Net+SSD algorithm model tripled the literacy rate in the experiment. The whole testing process conforms to the expected results to improve the identification efficiency, and continuously improve and optimize the system to improve the stability of the system.