Giroire [Gi] has recently proposed an algorithm which returns the approximate number of distincts elements in a large sequence of words, under strong constraints coming from the analysis of large data bases. His estimation is based on statistical properties of uniform random variables in [0,1]. In this note we propose an optimal estimation, using Kullback information and estimation theory.