Abstract
In this paper, an in-depth study on the recognition mechanism (identification experts) and behavioral function simulation is made, and a design method has been developed -----Image recognition mechanism. The research results and methods are expounded. At the same time, experiments are carried out on the above design methods. The effectiveness and feasibility of this design have been proved by experiments. Furthermore, the design of the expert observer is carried out. The design of artificial intelligent character recognition machine. Its ability to recognize complex background images has a high success rate, which has been proved by experiments, and its adaptive ability is very strong.
Highlights
Machine image recognition is a branch of image recognition system, and people pay great attention to the accuracy of sub-graph location segmentation, especially the problem of object recognition
This paper argues that : the feature space ------ is the basis of intelligent recognition knowledge, qualitative description of the physical model of the system.According to the combination of artificial intelligence and image processing technology, pattern recognition theory and computer technology, the design method of expert recognition machine is established
The second step is to feed the characteristic quantity into the (EO) expert observer, which can reflect the characteristics of the observation process
Summary
Machine image recognition is a branch of image recognition system, and people pay great attention to the accuracy of sub-graph location segmentation, especially the problem of object recognition. This article explores in depth the basic structure and function (EISR) required for the above problems:. Two levels of functions are required: state modeling and parameter characterization in online identification. On the basis of qualitative and quantitative analysis, parameter identification strategy and recognition and multi-mode state are presented. Data-driven reasoning as object features--Fuzzy reasoning in human-like (expert) decision-making process. This paper argues that : the feature space ------ is the basis of intelligent recognition knowledge, qualitative description of the physical model of the system.According to the combination of artificial intelligence and image processing technology, pattern recognition theory and computer technology, the design method of expert recognition machine is established
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