Exploration of Computer Vision Technology and Legal Consideration of Online False Propaganda Behavior in the Perspective of Civil and Commercial Law

False propaganda behavior seriously misleads consumers, and the general people are deeply hurt by this, so the monitoring of online propaganda behavior has become an urgent issue. This paper introduces a method for monitoring false propaganda behavior based on computer vision technology. A video capture card is used to capture network signals for subsequent image recognition. For the characteristics of video content recognition, the “first and last key extraction method” is used to extract key frames. Then the selected key frames are preprocessed for binarization. In the binarization module of the system, the fuzzy C-mean clustering algorithm is designed and applied for image binarization in this paper. Finally, the template-based matching method is used for image recognition, and it has been appropriately improved in this module to enhance its efficiency and accuracy in recognizing false propaganda behaviors on the Internet. On the basis of the above work, this topic in the civil and commercial law vision is from three aspects about the network false behavior propaganda considerations, in order to make this aspect of the law and regulations more perfect. In this paper, the method was used to carry out image testing experiments on false network propaganda behavior. The experimental results show that the recognition accuracy of the method for different types of false propaganda behavior is 90% and above, and the recognition accuracy of the false propaganda behavior of the user evaluation category is as high as 99%. This indicates that the method holds practical significance in addressing online false propaganda behavior.