This paper investigates paintings from a university museum collection which are works of an early 20th century painter and the Philippine’s first National Artist, Fernando C Amorsolo. Using a low-cost digital archiving setup that can derive both 3D texture and spectral reflectance measurements and visual examination to identify common characteristics and patterns, we demonstrate how statistical and image analysis can provide qualitative and quantitative measures in art examination that can help prevent the proliferation of forgeries among oil paintings on canvas and canvas boards.