Abstract: A method comprises segmenting a foreground and a background of an image; and extracting one or more features from the foreground and the background to recognize a brand image. The features comprises one or more from a group comprising a foreground area, coordinates of a foreground centeroid, a foreground symmetry, a connected property, a spatial moment of the foreground, a normalized center moment of the foreground, a background area, variations of the background in red, green and blue color channels, a ratio of the foreground area and the background, an entropy of the image, an edge density of the image.

Abstract: A method comprises segmenting a foreground and a background of an image; and extracting one or more features from the foreground and the background to recognize a brand image. The features comprises one or more from a group comprising a foreground area, coordinates of a foreground centeroid, a foreground symmetry, a connected property, a spatial moment of the foreground, a normalized center moment of the foreground, a background area, variations of the background in red, green and blue color channels, a ratio of the foreground area and the background, an entropy of the image, an edge density of the image.