SHAPE RECOGNITION PROCESS

The identity of an object is determined by obtaining an image of the objective shape (e.g., by a camera), obtaining from that image an optimum objective shape representative of the object, and comparing the optimum objective shape with a known shape model of the object. The shape model is represented as a plurality of nodal points interconnected by line segments. The optimum objective shape is selected from a number of objective shapes each comprised of a row of dots having the same number of nodal points as the shape model. Each objective shape is compared with the shape model on the basis of (i) the proximity of the dots of the objective shape to the line segments of the shape model, (ii) the length of the dot segments with respect to the lengths of respective line segments, and (iii) the inclinations of the dot segments with respect to the inclinations of the line segments. The objective shape having the closest similarity to (i.e. smallest deviation from) the shape model is selected as the optimum objective shape to be compared with the shape model for identifying the object.