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Method for recognizing pornography images on mobile Internet based on multi-mode combinational strategy

A mobile Internet and image recognition technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problem of high misjudgment rate of normal images, achieve high recognition rate, reduce misjudgment rate, and improve the effect of recognition rate

Active Publication Date: 2015-07-22
ZHENGZHOU JINHUI COMP SYST ENG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem that the misjudgment rate of normal images is too high in current mobile Internet pornographic image recognition, the present invention proposes a mobile Internet pornographic image recognition method based on a multi-mode combination strategy

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  • Method for recognizing pornography images on mobile Internet based on multi-mode combinational strategy
  • Method for recognizing pornography images on mobile Internet based on multi-mode combinational strategy
  • Method for recognizing pornography images on mobile Internet based on multi-mode combinational strategy

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Experimental program
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Effect test

Embodiment 1

[0096] Embodiment one: see figure 2 , the mobile Internet pornographic image recognition method based on the multi-mode combination strategy of the present invention first uses the pornographic image recognition algorithm based on wavelet texture correction of skin color to perform the first rough filtering on the image to identify suspected pornographic images, and on this basis first adopts Misjudged image matching technology collects images that are often misjudged, and forms a million-level misjudged image library, then extracts the global features of the image, and uses E2LSH technology to index the images in the image library; The suspected pornographic images are quickly and accurately matched using E2LSH based on the million-level misjudgment image library. After matching, if they are in the image library, they are considered normal images. If they are not in the misjudgment image library, they are considered suspected pornographic images. ;Finally, for the suspected ...

Embodiment 2

[0097] Embodiment two: see figure 2 , image 3 , this embodiment is based on the mobile Internet pornographic image recognition method based on the multi-mode combination strategy. The pornographic image recognition algorithm based on wavelet texture correction of skin color is based on skin color detection. Wavelet texture analysis is added to remove the skin-like points caused by the skin-like background, and finally use The skin-tone area ratio performs a first coarse filter on the image. This technology can maintain a high recall rate of pornographic images, and at the same time meet the requirements of the front-end machine to process more than 200 images per second. The specific process is as follows:

[0098] 1) Transform RGB color space to HSV color space;

[0099] 2) First quantify the HSV color space and divide it into L color subspaces, then determine the distribution of skin color in these L subspaces through statistical analysis, and cluster to obtain the dist...

Embodiment 3

[0111] Embodiment three: see figure 2 . The mobile Internet pornographic image recognition method based on the multi-mode combination strategy in this embodiment is different from Embodiment 1 or Embodiment 2 in that: firstly, images that are often misjudged are collected by using misjudgment image matching technology, and formed into a million-level A library of misclassified images at scale. Then extract the global features of the image, and use E2LSH technology to index the images in the image library. For the image result of the first coarse filtering, E2LSH can be used for fast and accurate matching, and if it is in the image library after matching, it is considered to be a normal image. In this way, the possibility of the same image being misjudged multiple times is avoided, and the misjudgment rate is greatly reduced.

[0112] Locality Sensitive Hashing (LSH) is similar to the nearest neighbor search algorithm. Its basic principle is: for a point in the space, it is...

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Abstract

The invention relates to a method for recognizing pornography images on a mobile Internet. The method for recognizing pornography images on the mobile Internet based on a multi-mode combinational strategy comprises the following steps of: coarsely filtering image by using a pornography image recognition algorithm of correcting skin color based on wavelet texture, and recognizing suspected pornography images; on this basis, firstly collecting frequently misjudged images to form a misjudged image base by using a misjudged image matching technology, then extracting the global features of the images, and setting up indexes for the images in the image base by using an E2LSH technology; secondly, rapidly and precisely matching the recognized suspected pornography images by using the E2LSH of the image base; after being matched, if an image does not exist in the misjudged image base, considering the image as the suspected pornography image; and finally, with respect to the images which do not exist in the suspected pornography images in the misjudged image base after being matched, carrying out final recognition by using a multi-characteristic fusion recognition algorithm based on a maximum link interesting zone. On the premise that the higher recognition rate of the pornography images is guaranteed, the misjudgment rate of normal images can be effectively reduced.

Description

technical field [0001] The invention relates to a mobile Internet pornographic image recognition method, in particular to a mobile Internet pornographic image recognition method based on a multi-mode combination strategy. Background technique [0002] In recent years, the mobile Internet has developed rapidly. It is estimated that the number of mobile Internet users in China will reach 450 million in 2012, and a large part of them are teenagers. They can easily download pornographic images and harmful information from the Internet through their mobile phones. And because teenagers are immature physically and mentally, they are more curious about everything, and they are in the rebellious period of youth, it is easy to induce them to go astray. The existence of pornographic images and pornographic websites has seriously threatened the physical and mental health of young people. Therefore, it is necessary to use intelligent image recognition technology to filter pornographic ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06K9/64
Inventor 彭天强张晨民赵慧琴孙晓峰崔鹏飞
Owner ZHENGZHOU JINHUI COMP SYST ENG