Improved Shape Recognition Method Based on Representative Shape Context

In order to resolve computationally prohibitive problem of shape matching within a large database of shapes,corner representative shape context is proposed for shape recognition.With a small number of corners as representative points,the corresponding histograms provide descriptions for the key features of shapes,and the correspondences between sample points are determined rapidly by reducing the number of histograms.As locally constrained matching is further proposed,shape matching and rotation invariant can be effectively resolved,and shape recognition is achieved by a two stage approach: fast pruning and detailed matching.The proposed algorithm has been tested on databases of shapes,and the performances of our method are superior to many other methods.