A sensitive image identification method and a system

A sensitive image and recognition method technology, applied in the field of image recognition, can solve problems such as unsatisfactory algorithm accuracy and time complexity, less consideration of skin color information, and algorithm generalization ability to be improved.

Active Publication Date: 2014-03-26
南京多目智能科技有限公司
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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 ski

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  • A sensitive image identification method and a system
  • A sensitive image identification method and a system
  • A sensitive image identification method and a system

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[0090] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments in the present invention, those of ordinary skill in the art will

[0091] All other embodiments obtained under the premise all belong to the protection scope of the present invention.

[0092] In image recognition based on machine learning and pattern recognition methods, images need to be expressed in vector form using some algorithm for subsequent training and recognition. Due to the successful application of the bag-of-words model in the field of image classification and recognition, the present invention uses the model to describe images in a vectorized manner. The bag-of-words model was first applied in the field of text classification t...

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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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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/66
Inventor 刘毅肖创柏段娟卞春晓
Owner 南京多目智能科技有限公司
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