1. A recognition process of an object in a query image, comprising: performing a training step that comprises: providing a set of training images, each training image comprising a plurality of pixels, associating to each training image an object tag, the object tag being coupled to the object; determining for each training image of said set a plurality of first descriptors, each first descriptor being a vector that represents pixel properties in a subregion of the associated training image; and determining ( 23 ) a group of exemplar descriptors describing said set of training images selecting the first descriptors ( 11 ) based on the position of the subregion with respect to a defined point in the associated training image and on the pixel properties of said first descriptors; performing a query step comprising: receiving said query image and defining a plurality of vectors of second descriptors describing the pixel properties of said query image in the subregions; determining a visual similarity coefficient based on a comparison between each one of said second descriptors of said query image and each one of said exemplar descriptors of said group in order to recognize the object in said query image as the object tag coupled to at least one of said exemplar descriptor having a higher precision index.