A new pattern recognition method of shape was presented based onartificial neural network theory. The method avoids the defects of shape pattern recognition with polynomials and it has strong disturbance resistance. It has been proved to be superior in recognizing different shape patterns by identifying many sorts of working sample books which the results are known.
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