Optical recognition of handwritten numbers was worked by different methods, with satisfactory results. In this paper, we propose fuzzy systems with genetic algorithms, specifically memetic, to do this task. Results with this method are compared with neuronal network of semi-supervised learning, where we was used networks with radial base functions (RBF). To make the comparison, is possible observed that this kind of neuronal network offers advantages regarding error rates and time-to-results of the recognition system, compared with methods based in fuzzy systems.