A distance labeling scheme is a distributed data-structure designed to answer queries about distance between any two vertices of a graph G. The data-structure consists in a label L(x,G) assigned to each vertex x of G such that the distance dG(x, y) between any two vertices x and y can be estimated as a function f(L(x,G),L(y,G)). In this paper we combine several types of distance labeling schemes and split decomposition of graphs. This yields to optimal label length schemes for the family of distance-hereditary graphs and for other families of graphs, allowing distance estimation in constant time once the labels have been constructed.