The linear combination Clipped method was used to obtain an original binary interconnection weight between the input layer and the middle layer of the WTA neural network model.This interconnection weight makes the WTA model with the rotation invariance.To improve the rate of correct recognition of the system the Local Monte Carlo was used to obtain the optimum interconnection weight.A computer simulation was completed for four kinds of flyers. The results of the experiment demonstrated that the WTA model is suitable for recognizing the rotating objects. A hybrid electro optic system was presented to implement the WTA model.