The main focus in this paper is the detection techniques based on the cover images

which are detected using FCM OC SVM. The feature set of cover samples are firstly clustered by the FCM algorithm. Then

the sub class data are trained separately and the multi hyper spheres classification models are established. This technology can improve the detection of cover image and stego image and decrease false detection. Meanwhile the effect of many coefficients on the detecting accuracy is analyzed and generalized for broad application.