Description: In the traditional image recognition in the face template matching calculation capacity, storage capacity shortcomings, the proposed genetic algorithm based on image recognition method. In this paper, based on genetic algorithms and the traditional method of combining normxcorr2, the image discretization, then the image recognition problem into a series of discrete points of combinatorial optimization problems, and then use genetic algorithm to optimize the performance of the population, a combination of all control points optimized, so that the control points and template matching to find the optimal solution. Finally, experimental verification of the genetic algorithm through the image recognition advantages.
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