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Research Article Open Access
The purpose of image Steganalysis is to detect the presence of hidden messages in cover images. Steganalysis can be considered as a pattern recognition process to decide which class a test image belongs to: the cover image or the Stego image. In this paper, we present F5 algorithm for image Steganography and then collect the statistical evidence by using feature extraction and feature set value is classify by using support vector machine.. The propose work will give higher detection performance accuracy than comparative current Steganalysis. Therefore, we have introduced a SVM- classification methodology based on image statistical feature selection.