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A case of high-precision environment is poor, intelligent character recognition license plate recognition algorithm, through the introduction of property nested grid computing to achieve efficient recognition of license plate character recognition algorithm, the algorithm application results showed that:algorithm design mesh density and recognition rate is proportional; calculated using the properties of the nested grid model, a significant improvement of the character recognition rate; the attributes and attribute nesting algorithm for computing grid computing grid algorithm comparison shows, the use of computational grid nested attributes algorithm recognition rate was 98.7%, significantly higher recognition rate. Design algorithms Chinese character recognition system not only to achieve a stable, intelligent features, and strong performance to resist outside interference characteristics of intelligent character recognition for this study have significant reference value.