Variogram-based feature extraction for neural network recognition of logos
Tuan D. Pham · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
This paper presents a new approach for extracting spatial features of images based on the theory of regionalized variables. These features can be effectively used for automatic recognition of logo images using neural networks. Experimental results on a public-domain logo database show the effectiveness of the proposed approach.