Watermarking Seminar

In this research, we propose a camera identification technique based on the conditional probability features (CP features). Specifically we focus on its performance for detection of images sources which has been taken using cameras from different models. By using 4 cameras, we demonstrate that the CP features are able to perfectly match the test images with its source in 8 over 10 independent tests conducted. Additionally, the CP features are also able to perfectly match the cropped and compressed test images with its source in 9 over 10 independent tests. These findings provide a good indication that CP features are beneficial in image forensics.