An algorithm for images matching based on directed hypergraph was proposed to improve the matching accuracy of graph model under the complex transformation． Firstly，3-uniform hypergraphs in the two feature points set to be matched was constructed by the algorithm，and the weights of the triples contained in each hyperedge was calculated， then these weights were used to construct weighted adjacency tensors． Finally，image matching was achieved by convex-concave relaxation algorithm． The experiments with both simulate and real results show that the proposed algorithm can achieve higher matching accuracy and good matching effect for complex transformed images．