Object recognition is one of the most important tasks of the visual cortex. Even though it has been closely studied in the field of computer vision and neuroscience, the underlying processes in the visual cortex are not completely understood. A model that lately has gained attention is the HMAX model, it describes a feedforward hierarchical structure. This model shows a degree of scale and translation invariance. Our work explores and compares the HMAX model with a simpler model