Robustness analysis of a passive printer identification scheme for halftone images
Stephan Escher, Thorsten Strafe · 2017
Printer identification is an important part of printer forensics to protect the reliability of printed documents or to track criminals. While the results of existing identification methods are promising, the robustness of these methods is usually not considered. Therefore, we analyzed an identification scheme which uses the halftone texture of color laser image prints as an intrinsic signature. We evaluated the signature's stability and its vulnerability to forgery. Our results show that the halftone textures depend on different driver settings and can be manipulated. Additionally we show that for specific forensical purposes the identification scheme can be applied to colored text as well.