The requirement of the recognition result is also increasing in practical applications. In this paper，anew classifier cascade recognition model is proposed for the problem of offline handwritten Chinese characterrecognition. New model is the fusion of modified quadratic discriminant function ( MQDF) and deep belief network( DBN) . First to recognize and get result using MQDF，and calculate the reliability of the recognition result. If thereliability can meet the requirement，MQDF recognition result can be as the final result directly output. Otherwiseusing the DBN to make recognition again and getting the final recognition result. Experiments show that the MQDFand DBN fusion model proposed in this paper can achieve better accuracy than the single use of MQDF and DBN inthe offline handwritten Chinese character recognition task，which is performed on the ETL-9B handwritten Chinesecharacter dataset.