Recognition of Logo Images using Invariants Defined from Higher-order Spectra
Scott Lowther, Vinod Chandran, Subramanian Sridharan · 2002
This paper presents a system for the automatic recognition of logo images extracted from electronic document images. It uses feature extraction by use of higher-order spectra and classification by means of a Nearest Neighbour classifier. Results demonstrate the robustness of the technique for logo recognition where the images suffer from imaging defects, varying degrees of Gaussian, speckle and salt and pepper noise as well as slight variations in logo structure and inclusion of background artefacts. The technique has been applied to two independent databases and achieved recognition accuracies as high as 99.6%. 1.