Automatic detection method of sensitive text in network pictures

Abstract

The invention discloses an automatic detection method for sensitive text of network pictures, which crawls and downloads websites containing pictures to be detected, collects pictures and adds them to a database by means of online crawling and offline loading; and obtains the pictures from the picture database. Image and image target detection (text area positioning, image text recognition) and sensitive text information detection and other processing. Using the Faster R-CNN deep network architecture based on the Region Proposal Network (RPN), a two-level sensitive text information classifier is adopted in the sensitive text information detection link. Among them, the first-level classifier performs rough screening of sensitive words in the input sentence by using a method based on multi-dimensional expansion of sensitive word library. The second-layer filter performs deep-level semantic refinement of sensitive text information based on the combination of sentiment polarity thesaurus and SVM classifier to confirm whether the text information is sensitive information. The automatic detection of image-sensitive text is effectively realized, the detection efficiency is high, and the system response time delay is fast.

Description

technical field [0001] The invention relates to digital image processing and related algorithms of deep learning, belongs to the field of machine vision and natural language processing, and particularly relates to an automatic detection method for sensitive text in network pictures. Background technique [0002] With the advancement of science and technology, my country's Internet industry has entered a stage of rapid development. Among them, live broadcast platforms including Douyu and Huya were born, and online social platforms such as WeChat, Weibo and QQ have been continuously updated and improved. These live broadcast platforms and social platforms not only have huge user groups, but also are very active, especially Loved by young and teenage users. With the transmission of massive data and information, such a huge amount of information interaction makes it easy for people to obtain diverse data information on the network, but these data information are often filled wi...

AI Technical Summary

Problems solved by technology

[0005] (2) Character recognition that departs from the original text can easily cause significant ambiguity

Sensitive information recognition based on text content in pictures mainly has adverse effects such as difficulty in locating text areas similar to text information in natural scenes, low accuracy of text recognition, and difficulty in identifying sensitive information in short texts.

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