An optimization algorithm based on genetic algorithm for parameters of synergetic neural network was proposed, which searched the optimal solutions in the parameters space of synergetic neural network using the globally optimal searching ability of genetic algorithm. The test upon the numeral samples from ‘Car License Recognition System’ shows that the optimization algorithm is able to improve the recognition performance of synergetic neural network effectively, and make the recognition rate reach the level of real application (98.4%). Additionally, the functions of parameters of synergetic neural network in object recognition were discussed.