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.

shuzituxiangchuli.doc

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．