In view of the current situation that the detection method is inefficient and low efficiency, this paper proposes a fast and efficient detection method for irregular shape. In this method, matching feature points between the actual captured image and the reference model are firstly used to find the contour mapping of the location, thereby solve their perspective transformation parameters. Then, extract edge of the irregular shape in the target image and transform the extracted edge points using the perspective transformation parameters. Finally, compared with the data, this method, non-contact, less equipment, low environmental impact, object is only the photographic image, and fast detection speed is suitable for all kinds of irregular shape. Standard experimental analysis shows that the method has high detection precision with 0.2 mm and good efficiency.