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Shape Classification and Retrieval Based on the V-System

In this paper, a method for describing 2D shape characteristic is presented. The similarity between any two shapes is measured by the Euclidian distance between their corresponding new shape descriptors. Accordingly, a new classification and retrieval technique is proposed by comparing the similarity between two shapes. To evaluate the proposed method, we applied it on the benchmark data set MPEG-7-PartB for shape classification and retrieval. The results show that the V-descriptor has higher efficiency than Zernike moment, pseudo Zernike moment, the central moment and moment invariants.