A sensitive image identification method and a system

Abstract

The invention discloses a sensitive-image identification method and a system, and belongs to the technical field of image identification. The sensitive-image identification method and the system are characterized in that the following steps are comprised: a step 1, grid dividing characteristic extraction fused with skin color detection is carried out, and original bag-of-words expressing vectors of images are obtained through a bag-of-words model; a step 2, image characteristic optimization is carried out, and dimension-reduced optimization image vector expressions are obtained through the utilization of a random forest; a step 3, identification model training is carried out, that is to say through the utilization of a one-class support vector machine, a one class classifier is trained in optimization vector space; and a step 4, image identification is carried out, i.e., if the images completely do not contain skin color pixels in the pretreatment process of the step 1, the images are directly determined to be normal images; and otherwise, optimization characteristic expressions are obtained after processing, and the optimization characteristic expressions enter the one-class classification model obtained through the training, so that identification results of the images are finally obtained. According to the invention, a one-class classification algorithm is utilized to solve sensitive-image identification problem, and a plurality of techniques are fused in the processing process, and the characteristic optimization processing is carried out, so that the accuracy and the efficiency of the sensitive-image identification are improved.

Description

technical field [0001] The invention relates to an image recognition method, in particular to a sensitive image recognition method and system based on a class classification algorithm that integrates skin color detection and image bag word representation. Background technique [0002] Among the traditional sensitive image detection methods, skin color detection technology and pattern recognition methods are widely used; among them, the first popular method calculates the area ratio of the skin color area in the image by designing a skin color detection algorithm, and determines the area ratio according to a certain threshold. Whether the image is a sensitive image, obviously, due to the influence of background color, lighting conditions, and image quality, such methods are very prone to misjudgment and missed judgment, so most sensitive image detection algorithms combine skin color detection with pattern recognition methods. Skin color detection as a secondary means. In thi...

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Problems solved by technology

[0004] Previously, there have been sensitive image recognition methods based on the bag-of-words model, but these methods are all based on two-class classification algorithms, and skin color information is less considered. The accuracy and time complexity of the algorithm are not ideal, and the generalization ability of the algorithm needs to be improved. improve

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