Source Camera Device Identification Combining Sensor Intrinsic Features and Tag

Source camera identification method is crucial in digital image forensics for determining the authentic source of an image. In this paper, we propose a new source camera identification method by combining the intrinsic features of the camera with a carefully designed tag. Our method establishes a hybrid fingerprint model involving two parameters as the unique camera fingerprints of a digital image. Utilizing hypothesis testing theory, we develop a generalized likelihood ratio test (GLRT) to identify the source camera of digital images. Finally, we provide numerical results to validate the performance of the proposed method and demonstrate its effectiveness in identifying source camera devices.