This paper presents a comprehensive methodology of automatic feature recognition for rotational parts. The parts of interest are rotational without deviation. In stage one, IGES formatted data of 2D engineering drawings are transformed into three independent graphs through upperhalf profile. In stage two, recursive evaluations are made to recognize features and relevant information is acquired. Finally, an example is evaluated to demonstrate the recognition power of the developed algorithm for rotational features.