The Beryllium-Copper (Be-Cu) alloys are high-reliability engineered materials preferred for several applications in various industries that require usage of materials of high impact strength and excellent electrical conductivity. Electro discharge machining (EDM) is a potential method to avoid the toxicity related issues in the machining of Be-Cu alloys. The undesirable, but inevitable, white layer formation in EDM needs to be understood and accurately determined to efficiently perform post treatment processes for removing the white layer caused by the EDM process. In this study, white layer thickness data obtained from the experimental study was modeled, and analyzed by image processing technique. A second order difference equation model has been found to be statistically adequate for modeling and forecasting of white layer thickness profiles.