Generic target recognition

We present in this paper a study on target recognition. The goal of this work is to determine and compare different methods from the pattern recognition domain in order to be able to recognize some objects in an image. We suppose having detected by a segmentation process a candidate object appearing with an unknown scale or rotation. To be able to recognize this object, we have first to describe it by some features having the property to be invariant by rotation, translation or scale. Second, we have to realize a supervised classification in order to compare this unknown object with one from the knowledge database. We present some experimental results for target recognition by comparing several features, classification methods and methodologies.