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Study on identity recognition of the multi-source heterogeneity dorsal hand vein heterogeneity images, recognition algorithm based on LBP and multi-layer structure is put forward. At first, the images are preprocessed, and then the texture feature images of dorsal hand vein coded by the LBP feature extraction algorithm are used as the input of the multi-layer structure, Through layer by layer feature extraction of multi-layer structure from the concrete to the abstract, the features have greater robustness. Finally, the recognition rate of this algorithm is higher than that of the traditional algorithm, and the recognition rate is 96.57%. Further, it shows that the algorithm can effectively solve the problem of the low recognition rate of the dorsal hand vein recognition caused by multi-source heterogeneous problem.