A new method to opto-electronically implement a fully bipolar WTA neural network model is proposed in this paper. The method has been applied to a WTA pattern recognition system and the experimental results are presented. This method permits more efficient use of the space-band product of the optical system, convenience for thresholding, error tolerance, higher storage capacity and better addressable ability as well as the ability to distinguish non-stored patterns.