Statistical Feature Based Digital Camera Identification

Digital Forensics has become noted field in the last few years. One of the areas in digital forensics is Digital Camera Identification. This paper proposed a camera identification framework, which is based on the Gray Level Cooccurrence Matrix (GLCM) features. The Photo Response Non-Uniformity (PRNU) noise is a kind of sensor finger impression, which permits to extraordinarily distinguish the camera that took an image. It is estimated from the denoised images using a denoised filter. Then estimate the Gray level Co-occurrence Matrix (GLCM) features of the PRNU noise pattern. A Scaled Conjugate Gradient (SCG) Backpropagation Neural Network is used for classification.