Measuring the perceived quality of printed images is important to assess the performance of printers and to evaluate technology advancements. Image quality metrics have been proposed to objectively assess the quality of images, and new metrics are proposed continuously. However, since these metrics require digital inputs, applying these metrics to printed images are not straightforward. In order to accomplish this, the printed reproduction needs to be transformed into a digital copy.In this paper we propose a framework for applying image quality metrics to printed images, including the transformation to a digital format, image registration, and the application of image quality metrics. The proposed framework introduces less error and is significantly faster than another state of the art framework. Finally, the framework is used to evaluate a set of image quality metrics against subjective data.