In this paper we are concerned by authentication of printer technologies from microscopic analysis of paper print. At this scale, a print is made of regularly spaced dots whose shape varies from a print to another and also inside the same document. Thus, dot at the microscopic scale can be considered as an intrinsic signature of printer technologies. Modeling and estimating such a signature for the authentication of printer technologies are really challenging. In this paper, we propose an original modeling of the micrometric scan of document printing. It consists in an extension of the binary response model which takes into account the dot shape. The digital image of a dot is therefore modeled as a set of random pixels distributed following to the so called inverse link function which depends on the center, tone of black, its spreading and its shape. A maximum likelihood estimation algorithm is provided in order to estimate the location, the darkness, the scale and shape parameter of the dot. From experimental results on three different printer technologies (inkjet, laser and offset), we show that the shape parameter is relevant for designing an identification scheme of printer technologies.
Many prints are coated to increase their resistance or to enhance their appearance. Applying a smooth transparent layer on a print darkens and saturates its color, an easily observable effect which can be predicted in order to obtain better color management of coated surfaces and ink saving. A model was thus developed which describes the reflectance of a single-ink line halftone in optical contact with a transparent smooth coating. It is based on the peculiar way light diffuses inside the coating layer, a phenomenon called the “halo effect”. The model was compared to two experiments conducted at different scales where line halftones were coated with different coating thicknesses. The experiments enabled us to identify and measure the darkening effect caused by a coating layer, and validated the model.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.