Global description of edge patterns using moments

摘要

Shape recognition has traditionally been accomplished using well bounded segmented regions or their closed contours. In this way, the internal edge details of the objects are ignored. There are cases such as in character recognition and in object recognition when patterns are not closed contours. In this paper, such patterns are defined as edge patterns and Edge Standard Moments (ESM) are developed which are invariant to location, scale and rotation. Results of patterns matching with character recognition and polyhedral object recognition are presented.