The Method Of Erotic Images Filtering Based On Real Internet

The network has become one of the main accesses to get information with the fast development of internet technology. Image is more and more popular for the intuitive features, but it also becomes a major means of profit for criminals. Therefore, the erotic image filtering is becoming a hot topic of scientific research.The paper introduces a new method of erotic image filtering based on real internet. It includes three parts:skin color detection model; human face detection; and sex determination in case of the face is detected. We present three innovations, color model selection, and face detection with the super-resolution algorithm and the sex determination.First, the HSV, YUV and YIQ color space model were present for the skin color detection and analysis the experimental results. Then a hybrid method mixed with PCA (principal component analysis) and MAP (maximum a posteriori probability) is proposed for face super-resolution in the human face detection modle, it is a key innovative content in the paper. Finally, in sex determination modle, we introduce the PCA-SIFT algorithm and LVQ (Learning Vector Quantization) for sex detection. With the experiment in the real conditions, the ratio of normal image to erotic image is 40:1, the recognition of erotic image can achieve 69.2%, the recognition of normal image can achieve 96.3%, and the average recognition rate can achieve 95.8%.Experimental results show that the method we present get a higher average recognition rate, but recognition rate of erotic image need to be improve, and improve the speed of the algorithm is also the subject of further study.