1. A method for object recognition applied to a digital image called a query and to a digital image called a target, the method comprising: simulating, by one or more processors, from each of the digital images a plurality of digital rotations and at least two digital tilts different from 1 in order to develop a simulated image for each rotation-tilt pair; and applying an algorithm, by the one or more processors, generating values that are invariant in translation, rotation and zoom onto the simulated images in order to determine local characteristics, called scale invariant features (SIF), used for recognizing similar or identical objects between the query and the target.