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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.
Date of Conference: 29-31 Oct. 2010