Abstract:

When testing images were  subjected to minor image processing  the change of detection rates was rarely discussed in the current image origin identification problem. A robust source scanner identification method was proposed, in this paper, by using acquired  digital images of flatbed desktop scanners. First, the feature of color, image quality and neighborhood were proposed based on the difference of imaging colorpurity and fabrication process of different scanner brands／models. Then, Support Vector Machine classifier was used to verifying the performance and robustness of our source scanner identification algorithm. Extensive experimental results demonstrate that the proposed method can effectively identify scanner brands／models and has better robustness than the previously.

Key words: digital image forensics, image origin, source scanner identification, support vector machine, robustness