Photorealistic Computer Graphics Identifying Algorithm Based on Improvement Local Binary Pattern

Abstract

As for the problem of high computational complexity and low detection rate of existing computer-generated image recognition algorithm, in this paper by analyzing the differences between photorealistic computer graphics and natural image on image texture, we put forward a photorealistic computer graphics identifying algorithm based on Improvement Local Binary Pattern. This algorithm can describe the details of the image and then we extract the feature value according to detail of the image. At last we use support vector machines to classify. The results show that the presented method can not only identify the photorealistic computer graphics and natural image but also have better identification rate.