In the strip packing problem we are given a set of rectangular items that we want to place in a strip of given width such that we minimize the height of the obtained packing. It is a very classical two-dimensional packing problem that has received a lot of attention and it has applications in many settings such as stock-cutting and scheduling. A straight-forward reduction from Partition shows that the problem cannot be approximated with a better absolute factor than 3/2. However, this reduction requires the numeric values to be exponentially large. In this paper, we present a (1.4+eps)-approximation algorithm with pseudo-polynomial running time. This implies that for polynomially bounded input data the problem can be approximated with a strictly better ratio than for exponential input which is a very rare phenomenon in combinatorial optimization.