A printer forensics method using halftone dot arrangement model

Abstract

In this paper, we present a printed image forensics method based on detection of halftone dots arrangement. The proposed method can be applied to identify printers and expose image forgery. The printed image is composed of halftone dots and these dots have regular arrangement. For a halftone dot, its adjacent halftone dots can be seen as the vertexes of a hexagon, we model the printer by 6 distance and 6 angles based on the halftone dot positions in the hexagon. In examination step, we apply Euclidean distance and K-means to identify printer and expose the forgeries, respectively. The experimental results have demonstrated the performance of proposed method both on printer identification and forgery detection.