In automated manufacturing systems an important task is to recognize different three-dimensional objects, e.g., workpieces. For this purpose we have used the fact that different objects scatter laser light from a scanner differently. To recognize the differences between the light reradiated by the objects we have used Fourier transformation. By this means the scanned data can be reduced to a few parameters for classification of the objects. This method is a rather simple and inexpensive way to complement other object recognition systems, e.g., in robotic applications. Both theory and verifying practical tests and results are presented.