Design and Implementation of Computer-Based Intelligent Image Recognition System

The design and implementation of recognition systems play an important role in computer intelligent images, but there is a problem of inaccurate recognition processing. Traditional fuzzy recognition cannot solve the image recognition problem in computer intelligent images, and the effect is not ideal. Therefore, this paper proposes the design and implementation of computer-based intelligent image recognition system, and analyzes the design and implementation of intelligent image recognition system. Firstly, the data recognition theory is used to locate the influencing factors, and the indicators is divided according to the requirements of the design and implementation of the identification system, so as to reduce the interference factors in the design and implementation of the identification system. Then, the data recognition theory is used to form the design and implementation scheme of the computer recognition system, and the design and implementation results of the identification system is comprehensively analyzed. The MATLAB simulation results show that under certain evaluation standards, the computer is better than the traditional fuzzy recognition in terms of the accuracy of the design and implementation of the identification system, and the time of the influencing factors of the design and implementation of the identification system.