A novelfuzzy neuralnetw ork (FNN) m odelform ulti-fontcharacterrecognition w as presented, w hich can efficiently process the fuzzy pattern classification problem . This FNN m odelis built by fuzzifying the input layer, output layer and the training algorithm ofa conventionalm ultilayer perceptron (MLP). The sim ulation w ith a lot of m ulti-font character sam ples show s thatthe FNN presented here can geta high recognition rate, and has low sensitivity for different character fonts in com parison w ith classical MLP.Also, this FNN is proved to have a good robustness.