Source camera identification based on content-adaptive fusion residual networks

•Content-adaptive fusion residual networks for source camera identification is proposed.•The images are separated according to the image contents.•The fusion residual networks is constructed to extract features and classify for different image contents.•The experiment results show that the proposed method has satisfactory performances.