Method for detecting sensitive information of microblog pictures

Abstract

The invention discloses a method for detecting the sensitive information of microblog pictures. The method comprises the following steps of: establishing a sensitive word library, a font library and a colour library; receiving N microblog pictures to be detected; creating a sensitive information list; traversing and detecting whether the microblog pictures contain the sensitive information; generating a sensitive information picture library corresponding to the microblog pictures according to the sizes of the existing microblog pictures, the sensitive word library, the font library and the colour library, and traversing to match with the microblog pictures; and judging whether the sensitive information exists or not according to the maximum value in the matching degrees of image blocks and sensitive information pictures at traversing positions on the microblog pictures, and storing the matching information in the sensitive information list. The method has the characteristics that detection missing and false detection are difficult based no a generative type, the robustness is strong, and the detection accuracy is high.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and more specifically relates to a method for detecting sensitive information of microblog pictures. Background technique [0002] Weibo is a broadcast-style social network platform that shares short and real-time information through the attention mechanism. In this information age, both the number of Weibo users and the number of Weibo pictures have grown to an astonishing level. However, microblog pictures are not good or bad. For microblog pictures with sensitive information, due to the lack of effective detection technology, it can only be judged and screened by human eyes, which is unrealistic for the exponentially growing microblog pictures. . With the rapid development of computer vision technology in recent years, the application function of using computer to extract or dig out information contained in images has become more and more powerful, and has been widely used in various ...

AI Technical Summary

Problems solved by technology

In the field of computer vision, text detection is a promising area. The traditional text detection method is based on the idea of ​​detection, requires a large number of training sets, is not resistant to noise, and is prone to missed detection and wrong detection. The scalability is poor, and it has encountered great difficulties in converting into applications, so it cannot be applied to the detection of sensitive information of Weibo pictures

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