A hybrid (statistical/structural)approach is presented, for scale- and orientation-invariant recognition of multi-component cartographic symbols. A decision-tree classifier (DTC) is used to identify the shapes of the individual components of a symbol. Structural matching is then used to determine the type of symbol under consideration.