Recognition of trademarks with spatial statistics and neural learning

This paper presents a new approach for extracting spatial features of images based on the theory of regionalized variables. These features can be used for automatic recognition of trademark or logo images using a neural network. Initial results have shown that the approach is invariant to geometrical rotation and robust to noise.