Abstract
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.
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