The accurate material identification of masonry structures plays a pivotal role in ensuring their structural integrity and safety. Digital Image Correlation (DIC) combined with the Virtual Field Method (VFM) offers a promising avenue for the mechanical identification of these structures in the lab and in-situ. This paper presents a comprehensive investigation into the effects of key DIC parameters - namely step size, strain window size, and camera resolution - on the robust identification of the linear elastic properties of brick and mortar. The study employs a two-fold approach: firstly, speckle images with varying resolution are synthetically deformed through numerical simulations of a stacked masonry prism in compression. A 2D-DIC algorithm is then used to measure the resulting strains on the surface of the specimen. VFM-identification on these images with varying DIC settings forms the basis for evaluating the impact of key DIC parameters on identification accuracy. Results indicate the importance of step size and strain window size selection along the brick/mortar interface to effectively capture the discontinuity in material response from brick to mortar.