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Aiming for the problem of scene matching which takes infrared image as the actual data and the visible image as the referenced data, a matching algorithm is presented based on Back Propagation(BP) neutral network. Firstly, the features of Krawtchouk invariant moment for infrared target are abstracted. Then, the method of Principal Component Analysis (PCA) is used to remove the redundancy of the feature vector in order to form an effective description for target. Subsequently, taking the effective features as input character vector, a scene matching recognizer based on BP neutral network which had three layers is constructed. The experimental results show that the method given by this paper, compared with some classic matching algorithms, can not only has the high matching accuracy and fast matching speed, but also has better robustness which can resist the geometric distortion.