关键词: 图像真伪, 人物图像, 真实人物图像, 小波, 灰度共生矩阵, 支持向量机

Abstract: This paper presents an algorithm detecting differences between computer generated figure images（CG） and figure photographs（PG）.First obtain a statistical model by extracting wavelet coefficients features，color and texture features，and then SVM classifiers are used to study and identify this difference.Experiments have shown that the method in this paper has a certain reference value in identifying the authenticity of images，especially in the conditions that there are not digital watermarks in the image.The method is of special practical value and its features of the extraction is significantly effective，and it has been verified that the combinding of statistical model and classification is effective in the image recognition authenticity.

Key words: image Recognition authenticity, Photograph, figure　image, wavelet, gray-level co-occurrence matrix, Support Vector Machine