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Conventional algorithms for image matching are slow and inefficient, and standard genetic algorithm (SGA) in image matching is not high in accuracy. In order to solve these problems, a fast and variable precision template matching algorithm based on hybrid genetic algorithm is proposed in this article. The algorithm combines GA and hill-climbing algorithm in an efficient way and performs fast both in global search and local search. The speed and accuracy of the Algorithm is proved by the experiment.